11.9.3 Occupancy Grids, Voxels

Herbert, F.,
Solid Modeling Using a Volume Coding Data Structure,
Computers&Graphics(7), 1983, pp. 97,99. BibRef 8300

Roth-Tabak, Y., and Jain, R.C.,
Building an Environment Model Using Depth Information,
Computer(22), No. 6, June 1989, pp. 85-90. Descriptions, Voxels. Voxels. A Voxel description generated over time from a sequence of range images that indicate what is free space. Heavy use of 3-D transformations. All cells start as unknown, if a free path exists through the voxel (all 8 corners only) then it is empty, if a surface is hit (all 8 corners) it is full. BibRef 8906

Kahalili, P., and Jain, R.C.,
Forming a Three Dimensional Environment Model Using Multiple Observations,
Motion91(262-267). Find whether an object occurs at a 3-D location (voxel), accumulate the intensity of observed voxels by back projection of images into 3-D. BibRef 9100

Li, A., Crebbin, G.,
Octree Encoding Of Objects From Range Images,
PR(27), No. 5, May 1994, pp. 727-739.
Elsevier DOI BibRef 9405

Drumheller, M.[Michael],
Mobile Robot Localization Using Sonar,
PAMI(9), No. 2, March 1987, pp. 325-332. Sonar. Autonomous Vehicle. Sonar for the three-dimensional shape of the world, fit straight lines and determine the location. BibRef 8703

Lorensen, W., Cline, H.,
Marching Cubes: A High Resolution 3D Surface Construction Algorithm,
Computer Graphics(21), No. 4, 1987, pp. 163-169. BibRef 8700

Saha, P.K., Chaudhuri, B.B.,
Detection of 3-D Simple Points for Topology Preserving Transformations with Application to Thinning,
PAMI(16), No. 10, October 1994, pp. 1028-1032.
IEEE DOI BibRef 9410

Elfes, A.,
Using Occupancy Grids for Mobile Robot Perception and Navigation,
Computer(22), No. 6, June 1990, pp. 46-57. BibRef 9006
And:
Sonar-Based Real-World Mapping and Navigation,
RA(3), No. 3, June 1987, pp. 249-265. Sonar data, but similar ideas to Roth-Tabak and Jain. BibRef

Braunegg, D.J.,
MARVEL: A System That Recognizes World Locations with Stereo Vision,
RA(9), 1993, pp. 303-308. BibRef 9300
Earlier: CVPR91(681-682).
IEEE DOI BibRef

Braunegg, D.J.[David J.],
Marvel: A System for Recognizing World Locations with Stereo Vision,
MIT AI-TR-1229, May 1990. BibRef 9005
And:
Marvel: Location Recognition Using Stereo Vision,
DARPA90(530-536). BibRef
And: MIT AI Memo-1186, October 1989. Occupancy grid method using stereo.
WWW Link. BibRef

Braunegg, D.J.[David J.],
Stereo Feature Matching in Disparity Space,
MIT AI Memo-1184, September 1989.
WWW Link. BibRef 8909

Vincken, K.L., Koster, A.S.E., Viergever, M.A.,
Probabilistic Segmentation of Partial Volume Voxels,
PRL(15), No. 5, May 1994, pp. 477-484. BibRef 9405

Vincken, K.L., Koster, A.S.E., Viergever, M.A.,
Probabilistic Multiscale Image Segmentation,
PAMI(19), No. 2, February 1997, pp. 109-120.
IEEE DOI 9703
Hyperstack -- voxel based multiscale data structure. Multiscale (convolving with different sized Gaussian kernels) approach for multidimensional images. Issues of linking voxels between different levels. BibRef

Koster, A.S.E., Vincken, K.L., de Graaf, C.N., Zander, O.C., Viergever, M.A.,
Heuristic Linking Models In Multiscale Image Segmentation,
CVIU(65), No. 3, March 1997, pp. 382-402.
DOI Link 9705
BibRef

Niessen, W.J., Vincken, K.L., Weickert, J.A., Viergever, M.A.,
Nonlinear Multiscale Representations for Image Segmentation,
CVIU(66), No. 2, May 1997, pp. 233-245.
DOI Link 9705
BibRef

Vincken, K.L.[Koen L.], Niessen, W.J.[Wiro J.], and Viergever, M.A.[Max A.],
Blurring Strategies for Image Segmentation Using a Multiscale Linking Model,
CVPR96(21-26).
IEEE DOI BibRef 9600
And: A3 (of 4): Koster, A., MMBIA96(DEFORMABLE MODELS II) BibRef

Koster, A.S.E.,
Linking Models for Multiscale Image Segmentation,
Ph.D.Thesis, Utrecht Univ. The Netherlands, 1995. BibRef 9500

Niessen, W.J., Vincken, K.L., Koster, A.S.E., Viergever, M.A.,
A Comparison of Multiscale Image Representations for Image Segmentation,
MMBIA96(263-272). BibRef 9600

Vincken, K.L., Koster, A.S.E., Viergever, M.A.,
Probabilistic Hyperstack Segmentation of MR Brain Data,
CVRMed95(351-357) BibRef 9500

Vincken, K.L.[Koen L.], Koster, A.S.E., and Viergever, M.A.[Max A.],
Probabilistic Multiscale Image Segmentation: Setup and First Results,
SPIE(1808), Visualization in Biomedical Computing, 1992, pp. 63-77. BibRef 9200

Vincken, K.L.[Koen L.],
Probabilistic Multiscale Image Segmentation by the Hyperstack,
Ph.D.Thesis, Utrecht Univ. The Netherlands, 1995. BibRef 9500

Chandru, V., Manohar, S., Prakash, C.E.,
Voxel-Based Modeling for Layered Manufacturing,
IEEE_CGA(15), No. 6, November 1995, pp. 42-47. BibRef 9511

Cohen-Or, D., Kaufman, A.,
Fundamentals of Surface Voxelization,
GMIP(57), No. 6, November 1995, pp. 453-461. BibRef 9511

Fleishman, S.[Shachar], Drori, I.[Iddo], Cohen-Or, D.[Daniel],
Bilateral mesh denoising,
TOG(22), No. 3, July 2003, pp. xx-yy.
WWW Link. BibRef 0307

Fiala, J.C.[John C.], Haralick, R.M.[Robert M.],
Comparison of a Regular and an Irregular Decomposition of Regions and Volumes,
PR(20), No. 3, 1987, pp. 309-319.
Elsevier DOI K-trees (quad and oct) vs. irregular decompositions (R-trees) BibRef 8700

Qian, K., Lu, X., Bhattacharya, P.,
A 3D Object Recognition System Using Voxel Representation,
PRL(13), 1992, pp. 725-733. BibRef 9200

Konolige, K.G.,
Improved Occupancy Grids for Map,
AutRob(4), No. 4, 1997, pp. 351-367. 9712
BibRef

Gau, C.J., Kong, T.Y.,
Minimal Nonsimple Sets of Voxels in Binary Images on a Face-Centered Cubic Grid,
PRAI(13), No. 4, June 1999, pp. 485. 0005
BibRef

Seitz, S.M.[Steven M.], Dyer, C.R.[Charles R.],
Photorealistic Scene Reconstruction by Voxel Coloring,
IJCV(35), No. 2, November-December 1999, pp. 151-173.
DOI Link
WWW Link. BibRef 9911
Earlier: CVPR97(1067-1073).
IEEE DOI
PS File. 9704
BibRef
And: DARPA97(935-942).
PS File. Generate space as voxels. Assume the camera is on one side of the voxels. BibRef

Seitz, S.M.[Steven M.], Dyer, C.R.[Charles R.],
View Morphing: Uniquely Predicting Scene Appearance from Basis Images,
DARPA97(881-888).
PS File. BibRef 9700
Earlier:
View Morphing,
SIGGraph-96(21-30). 1996, New Orleans.
WWW Link. BibRef
And:
Toward Image-Based Scene Representation Using View Morphing,
ICPR96(I: 84-89).
IEEE DOI
WWW Link. 9608
BibRef
And: Univ. of WisconsinTR 1298, 1996.
PS File. BibRef

Seitz, S.M.[Steven M.], and Dyer, C.R.[Charles R.],
Physically-Valid View Synthesis by Image Interpolation,
RVS95(18-25).
WWW Link. BibRef 9500
And:
Complete Scene Structure from Four Point Correspondences,
ICCV95(330-337).
IEEE DOI From 4 reference points, determine the structure of all other features.
WWW Link. BibRef

Dyer, C.R.[Charles R.],
Volumetric scene reconstruction from multiple views,
FIU01(469-489).
WWW Link. BibRef 0100

Seitz, S.M.[Steven M.], Kutulakos, K.N.[Kiriakos N.],
Plenoptic Image Editing,
IJCV(48), No. 2, July 2002, pp. 115-129.
DOI Link 0206
BibRef
Earlier: ICCV98(17-24).
IEEE DOI BibRef

Zhang, L., Dugas-Phocion, G., Samson, J.S., Seitz, S.M.,
Single View Modeling of Free-Form Scenes,
CVPR01(I:990-997).
IEEE DOI 0110
Small set of user constraints on the scene, produce a (partial) 3-D model. BibRef

Stolte, N.[Nilo], Kaufman, A.[Arie],
Novel Techniques for Robust Voxelization and Visualization of Implicit Surfaces,
GM(63), No. 6, November 2001, pp. 387-412.
DOI Link 0208
BibRef

Pasko, A.[Alexander], Adzhiev, V.[Valery], Schmitt, B.[Benjamin], Schlick, C.[Christophe],
Constructive Hypervolume Modeling,
GM(63), No. 6, November 2001, pp. 413-442.
DOI Link 0208
BibRef

Schmitt, B., Pasko, A., Schlick, C.,
Constructive sculpting of heterogeneous volumetric objects using trivariate B-splines,
VC(20), No. 2-3, May 2004, pp. 130-148.
Springer DOI 0405
BibRef

Ferley, E.[Eric], Cani, M.P.[Marie-Paule], Gascuel, J.D.[Jean-Dominique],
Resolution Adaptive Volume Sculpting,
GM(63), No. 6, November 2001, pp. 459-478.
DOI Link 0208
BibRef

Kwon, M.[Musik], Kim, C.S.[Chang-Su], Lee, K.M.[Kyoung Mu], Lee, S.U.[Sang Uk],
Progressive encoding of binary voxel models using pyramidal decomposition,
JVCIR(15), No. 1, March 2004, pp. 44-64.
Elsevier DOI 0402
BibRef

Kwon, M.[Musik], Lee, K.M.[Kyoung Mu], Lee, S.U.[Song Uk],
A statistical error analysis for voxel coloring,
ICIP03(I: 425-428).
IEEE DOI 0312
Model noise sources. BibRef

Park, S.Y.[Soon-Yong], Subbarao, M.[Murali],
Automatic 3D model reconstruction based on novel pose estimation and integration techniques,
IVC(22), No. 8, August 2004, pp. 623-635.
Elsevier DOI 0405
BibRef
Earlier:
A range image refinement technique for multi-view 3D model reconstruction,
3DIM03(147-154).
IEEE DOI 0311
BibRef
Earlier:
Automatic 3d model reconstruction using voxel coding and pose integration,
ICIP02(II: 533-536).
IEEE DOI 0210
BibRef
And:
Pose estimation and integration for complete 3D model reconstruction,
WACV02(143-147).
IEEE DOI 0303
BibRef

Chiang, P.Y.[Pei-Ying], Kuo, C.C.J.[C.C. Jay],
Voxel-based shape decomposition for feature-preserving 3D thumbnail creation,
JVCIR(23), No. 1, January 2012, pp. 1-11.
Elsevier DOI 1112
Voxel-based shape decomposition; Volumetric shape representation; Primitive approximation; Skeleton extraction; Skeletonization; Skeleton refinement; Feature-preserving 3D thumbnail; Skeleton-guided shape decomposition BibRef

Chiang, P.Y.[Pei-Ying], Kuo, M.C.[May-Chen], Kuo, C.C.J.[C.C. Jay],
Feature-Preserving 3D Thumbnail Creation with Voxel-Based Two-Phase Decomposition,
ISVC10(I: 108-119).
Springer DOI 1011
BibRef

Ozcanli, O.C.[Ozge C.], Crispell, D.[Daniel], Mundy, J.L.[Joseph L.], Jain, V.[Vishal], Pollard, T.[Tom],
3D modeling using miniscule volume elements,
SPIE(Newsroom), August 27, 2012
DOI Link 1209
A new technique to optimize volumetric representation and advances in graphics processing have enabled efficient construction of 3D models from 2D imagery, while fully capturing the uncertainty in the data. BibRef

Perrollaz, M., Yoder, J.D., Negre, A., Spalanzani, A., Laugier, C.,
A Visibility-Based Approach for Occupancy Grid Computation in Disparity Space,
ITS(13), No. 3, September 2012, pp. 1383-1393.
IEEE DOI 1209
BibRef

Kim, S., Kim, J.,
Occupancy Mapping and Surface Reconstruction Using Local Gaussian Processes With Kinect Sensors,
Cyber(43), No. 5, 2013, pp. 1335-1346.
IEEE DOI 1309
Computational complexity BibRef

Lemus, E.[Eduardo], Bribiesca, E.[Ernesto], Garduño, E.[Edgar],
Representation of enclosing surfaces from simple voxelized objects by means of a chain code,
PR(47), No. 4, 2014, pp. 1721-1730.
Elsevier DOI 1402
Chain code BibRef

Lemus, E.[Eduardo], Bribiesca, E.[Ernesto], Garduño, E.[Edgar],
Surface trees: Representation of boundary surfaces using a tree descriptor,
JVCIR(31), No. 1, 2015, pp. 101-111.
Elsevier DOI 1508
Surface trees BibRef

Chang, H.H.[Hsu-Huai], Lai, Y.C.[Yu-Chi], Yao, C.Y.[Chin-Yuan], Hua, K.L.[Kai-Lung], Niu, Y.Z.[Yu-Zhen], Liu, F.[Feng],
Geometry-shader-based real-time voxelization and applications,
VC(30), No. 3, March 2014, pp. 327-340.
Springer DOI 1403
BibRef
Earlier: Erratum: VC(32), No. 2, February 2016, pp. 271.
Springer DOI 1602
BibRef

Biswas, R.[Ranita], Bhowmick, P.[Partha],
Layer the sphere,
VC(31), No. 6-8, June 2015, pp. 787-797.
Springer DOI 1506
Voxels. Used for printing too. BibRef

Medeiros e Sá, A.[Asla], Mello, V.M.[Vinícius Moreira], Echavarria, K.R.[Karina Rodriguez], Covill, D.[Derek],
Adaptive voids,
VC(31), No. 6-8, June 2015, pp. 799-808.
Springer DOI 1506
Manufacturing method. BibRef

Meister, D.[Daniel], Bittner, J.[Jirí],
Parallel BVH construction using k-means clustering,
VC(32), No. 6-8, June 2016, pp. 977-987.
Springer DOI 1608
BVH: bounding volume hierarchies. Using GPU. BibRef

Namane, R.[Rachid], Miguet, S.[Serge], Oulebsir, F.B.[Fatima Boumghar],
A fast voxelization algorithm for trilinearly interpolated isosurfaces,
VC(34), No. 1, January 2018, pp. 5-20.
WWW Link. 1801
BibRef

Xu, Y.S.[Yu-Sheng], Tuttas, S.[Sebastian], Hoegner, L.[Ludwig], Stilla, U.[Uwe],
Voxel-based segmentation of 3D point clouds from construction sites using a probabilistic connectivity model,
PRL(102), 2018, pp. 67-74.
Elsevier DOI 1802
Segmentation, Point cloud, Construction site, Voxelization, Probabilistic model BibRef

Rubino, C.[Cosimo], Crocco, M.[Marco], del Bue, A.[Alessio],
3D Object Localisation from Multi-View Image Detections,
PAMI(40), No. 6, June 2018, pp. 1281-1294.
IEEE DOI 1805
Cognition, Geometry, Object detection, Optimization, Semantics, object detection BibRef

Rubino, C.[Cosimo], Fusiello, A.[Andrea], del Bue, A.[Alessio],
Lifting 2D Object Detections to 3D: A Geometric Approach in Multiple Views,
CIAP17(I:561-572).
Springer DOI 1711
BibRef

Xiao, Y.Y.[Yan-Yang], Chen, Z.G.[Zhong-Gui], Lin, Z.T.[Zheng-Tao], Cao, J.[Juan], Zhang, Y.J.J.[Yong-Jie Jessica], Lin, Y.B.[Yang-Bin], Wang, C.[Cheng],
Merge-Swap Optimization Framework for Supervoxel Generation from Three-Dimensional Point Clouds,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Ni, H.[Huan], Niu, X.N.[Xiao-Nan],
SVLA: A compact supervoxel segmentation method based on local allocation,
PandRS(163), 2020, pp. 300-311.
Elsevier DOI 2005
Supervoxel segmentation, Point clouds, Compactness, Logistic function, Allocation BibRef

Jia, S.Y.[Shi-Yu], Zhang, W.Z.[Wei-Zhong], Pan, Z.K.[Zhen-Kuan], Wang, G.D.[Guo-Dong], Yu, X.K.[Xiao-Kang],
Using pseudo voxel octree to accelerate collision between cutting tool and deformable objects modeled as linked voxels,
VC(36), No. 5, May 2020, pp. 1017-1028.
WWW Link. 2005
BibRef

de Oliveira Rente, P.[Paulo], Brites, C.[Catarina], Ascenso, J.[João], Pereira, F.[Fernando],
Graph-Based Static 3D Point Clouds Geometry Coding,
MultMed(21), No. 2, February 2019, pp. 284-299.
IEEE DOI 1902
Encoding, Geometry, Transforms, Octrees, Visualization, Transform coding, Point cloud coding, point cloud quality assessment BibRef

Pereira, F.[Fernando], Dricot, A.[Antoine], Ascenso, J.[João], Brites, C.[Catarina],
Point cloud coding: A privileged view driven by a classification taxonomy,
SP:IC(85), 2020, pp. 115862.
Elsevier DOI 2005
BibRef
Earlier: A2, A1, A3, Only:
Rate-Distortion Driven Adaptive Partitioning for Octree-Based Point Cloud Geometry Coding,
ICIP18(2969-2973)
IEEE DOI 1809
Point cloud coding, Taxonomy, Geometry, Attributes, Voxel, Octree, Patch, Graph. Octrees, Encoding, Distortion, Rate-distortion. BibRef

Javaheri, A., Brites, C.[Catarina], Pereira, F.[Fernando], Ascenso, J.[João],
Mahalanobis Based Point to Distribution Metric for Point Cloud Geometry Quality Evaluation,
SPLetters(27), 2020, pp. 1350-1354.
IEEE DOI 2008
BibRef
And:
Improving Psnr-Based Quality Metrics Performance For Point Cloud Geometry,
ICIP20(3438-3442)
IEEE DOI 2011
Geometry, Covariance matrices, Encoding, Correlation, Euclidean distance, Point cloud, point to distribution. point cloud coding, objective quality assessment, PSNR, intrinsic resolution, density, precision BibRef

Milani, S., Polo, E., Limuti, S.,
A Transform Coding Strategy for Dynamic Point Clouds,
IP(29), 2020, pp. 8213-8225.
IEEE DOI 2008
BibRef
Earlier: A3, A2, A1:
A Transform Coding Strategy for Voxelized Dynamic Point Clouds,
ICIP18(2954-2958)
IEEE DOI 1809
Image coding, Transforms, Solid modeling, Image color analysis, Sensors, voxel color. Encoding, Image color analysis, Transforms, Geometry, Transform coding, Solid modeling BibRef

Lv, C.L.[Chen-Lei], Lin, W.S.[Wei-Si], Zhao, B.Q.[Bao-Quan],
Approximate Intrinsic Voxel Structure for Point Cloud Simplification,
IP(30), 2021, pp. 7241-7255.
IEEE DOI 2108
Image coding, Task analysis, Surface treatment, Pipelines, Noise reduction, Feature extraction, sharp-feature keeping BibRef

Dong, X.[Xiao], Chen, Z.G.[Zhong-Gui], Liu, Y.J.[Yong-Jin], Yao, J.F.[Jun-Feng], Guo, X.[Xiaohu],
GPU-Based Supervoxel Generation With a Novel Anisotropic Metric,
IP(30), 2021, pp. 8847-8860.
IEEE DOI 2111
Videos, Graphics processing units, Image segmentation, Measurement, Image color analysis, Clustering algorithms, GPU BibRef

Liao, L.F.[Ling-Feng], Tang, S.J.[Sheng-Jun], Liao, J.H.[Jiang-Hai], Li, X.M.[Xiao-Ming], Wang, W.X.[Wei-Xi], Li, Y.X.[Ya-Xin], Guo, R.Z.[Ren-Zhong],
A Supervoxel-Based Random Forest Method for Robust and Effective Airborne LiDAR Point Cloud Classification,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

You, C.Y.[Chen-Yu], Zhou, Y.[Yuan], Zhao, R.[Ruihan], Staib, L.M.[Lawrence M.], Duncan, J.S.[James S.],
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation,
MedImg(41), No. 9, September 2022, pp. 2228-2237.
IEEE DOI 2209
Image segmentation, Biomedical imaging, Task analysis, Data models, Training, Representation learning, Annotations, geometric constraints BibRef

Wang, Z.C.[Zhe-Cheng], Wan, S.[Shuai], Wei, L.[Lei],
Local Geometry-Based Intra Prediction for Octree-Structured Geometry Coding of Point Clouds,
CirSysVideo(33), No. 2, February 2023, pp. 886-896.
IEEE DOI 2302
Point cloud compression, Encoding, Geometry, Octrees, Correlation, Euclidean distance, Point cloud compression, geometry coding, intra prediction BibRef

Barsanti, S.G.[Sara Gonizzi], Marini, M.R.[Marco Raoul], Malatesta, S.G.[Saverio Giulio], Rossi, A.[Adriana],
Evaluation of Denoising and Voxelization Algorithms on 3D Point Clouds,
RS(16), No. 14, 2024, pp. 2632.
DOI Link 2408
BibRef

Vieira, D.[Danielle], Barcelos, I.B.[Isabela Borlido], Belém, F.[Felipe], Patrocínio Jr., Z.K.G.[Zenilton K. G.], Falcão, A.X.[Alexandre X.], Guimarães, S.J.F.[Silvio Jamil F.],
Streaming Graph-based Supervoxel Computation Based on Dynamic Iterative Spanning Forest,
CIARP23(II:90-104).
Springer DOI 2312
BibRef

Chen, Y.[Yukang], Liu, J.H.[Jian-Hui], Zhang, X.Y.[Xiang-Yu], Qi, X.J.[Xiao-Juan], Jia, J.Y.[Jia-Ya],
LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs,
CVPR23(13488-13498)
IEEE DOI 2309
BibRef

Wang, H.Y.[Hai-Yang], Shi, C.[Chen], Shi, S.S.[Shao-Shuai], Lei, M.[Meng], Wang, S.[Sen], He, D.[Di], Schiele, B.[Bernt], Wang, L.W.[Li-Wei],
DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets,
CVPR23(13520-13529)
IEEE DOI 2309
BibRef

Chen, Y.K.[Yu-Kang], Liu, J.H.[Jian-Hui], Zhang, X.Y.[Xiang-Yu], Qi, X.J.[Xiao-Juan], Jia, J.Y.[Jia-Ya],
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking,
CVPR23(21674-21683)
IEEE DOI 2309
BibRef

Shrout, O.[Oren], Ben-Shabat, Y.Z.[Yi-Zhak], Tal, A.[Ayellet],
GraVoS: Voxel Selection for 3D Point-Cloud Detection,
CVPR23(21684-21693)
IEEE DOI 2309
BibRef

Khurana, T.[Tarasha], Hu, P.[Peiyun], Held, D.[David], Ramanan, D.[Deva],
Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting,
CVPR23(1116-1124)
IEEE DOI 2309
BibRef

Boulch, A.[Alexandre], Sautier, C.[Corentin], Michele, B.[Björn], Puy, G.[Gilles], Marlet, R.[Renaud],
ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation,
CVPR23(13455-13465)
IEEE DOI 2309
BibRef

Zhang, Y.P.[Yun-Peng], Zhu, Z.[Zheng], Du, D.L.[Da-Long],
OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction,
ICCV23(9399-9409)
IEEE DOI Code:
WWW Link. 2401
BibRef

Zhao, L.Q.[Lin-Qing], Xu, X.W.[Xiu-Wei], Wang, Z.W.[Zi-Wei], Zhang, Y.P.[Yun-Peng], Zhang, B.[Borui], Zheng, W.Z.[Wen-Zhao], Du, D.L.[Da-Long], Zhou, J.[Jie], Lu, J.W.[Ji-Wen],
LowRankOcc: Tensor Decomposition and Low-Rank Recovery for Vision-Based 3D Semantic Occupancy Prediction,
CVPR24(9806-9815)
IEEE DOI 2410
Solid modeling, Tensors, Semantics, Redundancy, Vectors, 3D semantic occupancy, tensor decomposition BibRef

Huang, Y.H.[Yuan-Hui], Zheng, W.Z.[Wen-Zhao], Zhang, Y.P.[Yun-Peng], Zhou, J.[Jie], Lu, J.W.[Ji-Wen],
Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction,
CVPR23(9223-9232)
IEEE DOI 2309
BibRef

Huang, Y.D.[Yong-Dong], Li, Y.Z.[Yuan-Zhan], Cao, X.L.[Xu-Long], Zhang, S.[Siyu], Cai, S.[Shen], Lu, T.[Ting], Wang, J.[Jie], Liu, Y.Q.[Yu-Qi],
An Efficient End-to-End 3D Voxel Reconstruction based on Neural Architecture Search,
ICPR22(3801-3807)
IEEE DOI 2212
Surface reconstruction, Solid modeling, Neural networks, Network architecture BibRef

Lamb, N.[Nikolas], Banerjee, S.[Sean], Banerjee, N.K.[Natasha Kholgade],
DeepMend: Learning Occupancy Functions to Represent Shape for Repair,
ECCV22(III:433-450).
Springer DOI 2211
BibRef

Khurana, T.[Tarasha], Hu, P.[Peiyun], Dave, A.[Achal], Ziglar, J.[Jason], Held, D.[David], Ramanan, D.[Deva],
Differentiable Raycasting for Self-Supervised Occupancy Forecasting,
ECCV22(XXXVIII:353-369).
Springer DOI 2211
BibRef

Zhao, T.C.[Tian-Chen], Zhang, N.S.[Nian-Song], Ning, X.F.[Xue-Fei], Wang, H.[He], Yi, L.[Li], Wang, Y.[Yu],
CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance,
CVPR22(1425-1434)
IEEE DOI 2210
Training, Shape, Semantics, Prototypes, Transformers, Data structures, Segmentation, grouping and shape analysis, Scene analysis and understanding BibRef

Sun, C.[Cheng], Sun, M.[Min], Chen, H.T.[Hwann-Tzong],
Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction,
CVPR22(5449-5459)
IEEE DOI 2210
Training, Geometry, Solid modeling, Interpolation, Task analysis, Optimization, 3D from multi-view and sensors BibRef

Peng, K.[Kebin], Islam, R.[Rifatul], Quarles, J.[John], Desai, K.[Kevin],
TMVNet: Using Transformers for Multi-view Voxel-based 3D Reconstruction,
PBVS22(221-229)
IEEE DOI 2210
Solid modeling, Fuses, Neural networks, Transformers, Feature extraction, Decoding BibRef

Magillo, P.[Paola], Comic, L.[Lidija],
Transparent Management of Adjacencies in the Cubic Grid,
IbPRIA22(283-294).
Springer DOI 2205
BibRef

Tang, J.P.[Jia-Peng], Lei, J.B.[Jia-Bao], Xu, D.[Dan], Ma, F.Y.[Fei-Ying], Jia, K.[Kui], Zhang, L.[Lei],
SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks,
ICCV21(6484-6493)
IEEE DOI 2203
Convolutional codes, Point cloud compression, Surface reconstruction, Shape, Scalability, Optimization methods, Neural generative models BibRef

Stier, N.[Noah], Rich, A.[Alexander], Sen, P.[Pradeep], Höllerer, T.[Tobias],
VoRTX: Volumetric 3D Reconstruction With Transformers for Voxelwise View Selection and Fusion,
3DV21(320-330)
IEEE DOI 2201
Geometry, Surface reconstruction, Scalability, Training data, Predictive models, Transformers, Reconstruction algorithms, multi view stereo BibRef

Kaya, E.C.[Emre Can], Schwarz, S.[Sebastian], Tabus, I.[Ioan],
Refining the Bounding Volumes for Lossless Compression of Voxelized Point Clouds Geometry,
ICIP21(3408-3412)
IEEE DOI 2201
Geometry, Image coding, Refining, Buildings, Bit rate, Point Cloud Compression, Context Coding, Lossless Compression, Arithmetic Coding BibRef

Liu, J.C.[Jun-Cheng], Mills, S.[Steven], McCane, B.[Brendan],
Variational Autoencoder for 3D Voxel Compression,
IVCNZ20(1-6)
IEEE DOI 2012
Solid modeling, Computational modeling, Octrees, Data models, Task analysis, Image reconstruction BibRef

Cui, Z., Zhang, Z.,
PVF-NET: Point Voxel Fusion 3D Object Detection Framework for Point Cloud,
CRV20(125-133)
IEEE DOI 2006
3D object detection, robotics vision, lidar point cloud BibRef

Niemeyer, M.[Michael], Mescheder, L.[Lars], Oechsle, M.[Michael], Geiger, A.[Andreas],
Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics,
ICCV19(5378-5388)
IEEE DOI 2004
geometry, image reconstruction, image representation, interpolation, learning (artificial intelligence), Topology BibRef

Mescheder, L.[Lars], Oechsle, M.[Michael], Niemeyer, M.[Michael], Nowozin, S.[Sebastian], Geiger, A.[Andreas],
Occupancy Networks: Learning 3D Reconstruction in Function Space,
CVPR19(4455-4465).
IEEE DOI 2002
BibRef

Mohajerin, N.[Nima], Rohani, M.[Mohsen],
Multi-Step Prediction of Occupancy Grid Maps With Recurrent Neural Networks,
CVPR19(10592-10600).
IEEE DOI 2002
BibRef

Ao, W.[Wei], Wang, L.[Lei], Shan, J.[Jie],
Point Cloud Classification by Fusing Supervoxel Segmentation with Multi-Scale Features,
Laser19(919-925).
DOI Link 1912
BibRef

Ali, W.[Waleed], Abdelkarim, S.[Sherif], Zidan, M.[Mahmoud], Zahran, M.[Mohamed], El Sallab, A.[Ahmad],
YOLO3D: End-to-End Real-Time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud,
3DSemantics18(III:716-728).
Springer DOI 1905
BibRef

Ngo, P.[Phuc], Passat, N.[Nicolas], Kenmochi, Y.[Yukiko], Debled-Rennesson, I.[Isabelle],
Convexity invariance of voxel objects under rigid motions,
ICPR18(1157-1162)
IEEE DOI 1812
Shape, Geometry, Topology, Computational modeling, Zinc, Image processing BibRef

Boerner, R., Hoegner, L., Stilla, U.,
Voxel Based Segmentation of Large Airborne Topobathymetric Lidar Data,
Hannover17(107-114).
DOI Link 1805
BibRef

Milani, S.[Simone],
Fast point cloud compression via reversible cellular automata block transform,
ICIP17(4013-4017)
IEEE DOI 1803
Automata, Computational modeling, Encoding, Image color analysis, Octrees, Transforms, 3D volumes, voxels BibRef

Quan, S., Ma, J., Hu, F., Fang, B., Ma, T.,
Local voxelized structure for 3D local shape description: A binary representation,
ICIP17(2801-2805)
IEEE DOI 1803
Gaussian noise, Histograms, Pins, Robustness, Shape, voxel BibRef

Cherabier, I.[Ian], Schönberger, J.L.[Johannes L.], Oswald, M.R.[Martin R.], Pollefeys, M.[Marc], Geiger, A.[Andreas],
Learning Priors for Semantic 3D Reconstruction,
ECCV18(XII: 325-341).
Springer DOI 1810
BibRef

Wang, X.J.[Xiao-Juan], Oswald, M.R.[Martin R.], Cherabier, I.[Ian], Pollefeys, M.[Marc],
Learning 3D Semantic Reconstruction on Octrees,
GCPR19(581-594).
Springer DOI 1911
BibRef

Cherabier, I.[Ian], Häne, C., Oswald, M.R.[Martin R.], Pollefeys, M.[Marc],
Multi-Label Semantic 3D Reconstruction Using Voxel Blocks,
3DV16(601-610)
IEEE DOI 1701
Automobiles BibRef

Jimenez, M.J.[Maria-Jose], Medrano, B.[Belen], Monaghan, D.[David], O'Connor, N.E.[Noel E.],
Designing a Topological Algorithm for 3D Activity Recognition,
CTIC16(193-203).
Springer DOI 1608
BibRef

Gardzinski, P., Kowalak, K., Mackowiak, S., Kaminski, L.,
Quality improvement Of 3-D voxel models based on histograms of model reprojection,
WSSIP15(208-211)
IEEE DOI 1603
correlation methods BibRef

Oh, S.I.[Sang-Il], Kang, H.B.[Hang-Bong],
A Modified Sequential Monte Carlo Bayesian Occupancy Filter Using Linear Opinion Pool for Grid Mapping,
MSF15(192-198)
IEEE DOI 1602
Bayes methods BibRef

Bagautdinov, T.[Timur], Fleuret, F.[Francois], Fua, P.[Pascal],
Probability occupancy maps for occluded depth images,
CVPR15(2829-2837)
IEEE DOI 1510
BibRef

Garcia, F.[Frederic], Ottersten, B.[Bjorn],
CPU-Based Real-Time Surface and Solid Voxelization for Incomplete Point Cloud,
ICPR14(2757-2762)
IEEE DOI 1412
Approximation methods BibRef

Hemmat, H.J.[Hani Javan], Bondarev, E.[Egor], de With, P.H.N.[Peter H.N.],
Exploring Distance-Aware Weighting Strategies for Accurate Reconstruction of Voxel-Based 3D Synthetic Models,
MMMod14(I: 412-423).
Springer DOI 1405
BibRef

Xu, C.L.[Chen-Liang], Whitt, S.[Spencer], Corso, J.J.[Jason J.],
Flattening Supervoxel Hierarchies by the Uniform Entropy Slice,
ICCV13(2240-2247)
IEEE DOI 1403
BibRef

Papon, J.[Jeremie], Abramov, A.[Alexey], Schoeler, M.[Markus], Worgotter, F.[Florentin],
Voxel Cloud Connectivity Segmentation: Supervoxels for Point Clouds,
CVPR13(2027-2034)
IEEE DOI 1309
PCL; kinect; pointclouds; segmentation; superpixels BibRef

Carvalho, J.[João], Ventura, R.[Rodrigo],
Comparative Evaluation of Occupancy Grid Mapping Methods Using Sonar Sensors,
IbPRIA13(889-896).
Springer DOI 1307
BibRef

Jiang, W.F.[Wen-Fei], Tian, J.[Jiang], Cai, K.Y.[Kang-Ying], Zhang, F.[Fan], Luo, T.[Tao],
Tangent-plane-continuity maximization based 3D point compression,
ICIP12(1277-1280).
IEEE DOI 1302
oct-tree decomp. BibRef

Bailoni, A.[Alberto], Pape, C.[Constantin], Wolf, S.[Steffen], Kreshuk, A.[Anna], Hamprecht, F.A.[Fred A.],
Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks,
GCPR20(331-344).
Springer DOI 2110
BibRef

Andres, B.[Bjoern], Kroeger, T.[Thorben], Briggman, K.L.[Kevin L.], Denk, W.[Winfried], Korogod, N.[Natalya], Knott, G.[Graham], Koethe, U.[Ullrich], Hamprecht, F.A.[Fred A.],
Globally Optimal Closed-Surface Segmentation for Connectomics,
ECCV12(III: 778-791).
Springer DOI 1210
BibRef

Ryde, J.[Julian], Delmerico, J.A.[Jeffrey A.],
Extracting Edge Voxels from 3D Volumetric Maps to Reduce Map Size and Accelerate Mapping Alignment,
CRV12(330-337).
IEEE DOI 1207
Extend 2-D occupancy grid to 3-D. Keep only edge voxels, not middle of walls. BibRef

Arumugham, R., Thirusangu, K., Thomas, D.G.,
A New Method for Generation of Three-Dimensional Cubes,
CompIMAGE10(119-129).
Springer DOI 1006
BibRef

Nielson, G.M.[Gregory M.], Zhang, L.Y.[Li-Yan], Lee, K.[Kun], Huang, A.[Adam],
Parameterizing Marching Cubes Isosurfaces with Natural Neighbor Coordinates,
GMP08(xx-yy).
Springer DOI 0804
BibRef

Komuravelli, A.[Anvesh], Sinha, A.[Arnab], Bishnu, A.[Arijit],
Connectivity Preserving Voxel Transformation,
IWCIA08(xx-yy).
Springer DOI 0804
BibRef

Yoon, K.J.[Kuk-Jin], Prados, E.[Emmanuel], Sturm, P.F.[Peter F.],
Joint Estimation of Shape and Reflectance using Multiple Images with Known Illumination Conditions,
IJCV(86), No. 2-3, January 2010, pp. xx-yy.
Springer DOI 1001
BibRef
Earlier:
Generic Scene Recovery Using Multiple Images,
SSVM09(745-757).
Springer DOI
PDF File. 0906
BibRef

Delaunoy, A.[Amaël], Prados, E.[Emmanuel], Belhumeur, P.N.[Peter N.],
Towards Full 3D Helmholtz Stereovision Algorithms,
ACCV10(I: 39-52).
Springer DOI 1011
BibRef

Sturm, P.F.[Peter F.], Delaunoy, A.[Amaël], Gargallo, P.[Pau], Prados, E.[Emmanuel], Yoon, K.J.[Kuk-Jin],
3D and Appearance Modeling from Images,
CIARP09(695-704).
Springer DOI 0911
BibRef

Yoon, K.J.[Kuk-Jin], Prados, E.[Emmanuel], Sturm, P.F.[Peter F.], Delaunoy, A.[Amaël], Gargallo, P.[Pau],
Shape and Reflectance Recovery using Multiple Images with Known Illumination Conditions,
INRIARR-6309, September 2007, INRIA Rhône-Alpes.
PDF File. BibRef 0709

Sturm, P.F.[Peter F.],
Recherches en vision par ordinateur,
Ph.D.Thesis, May 2006, Institut National Polytechnique de Grenoble.
PDF File. (Large file). BibRef 0605

Delaunoy, A., Prados, E., Gargallo, P., Pons, J.P., Sturm, P.F.,
Minimizing the Multi-view Stereo Reprojection Error for Triangular Surface Meshes,
BMVC08(xx-yy).
PDF File.
PDF File. 0809
BibRef

Gargallo, P.[Pau], Prados, E.[Emmanuel], Sturm, P.F.[Peter F.],
Minimizing the Reprojection Error in Surface Reconstruction from Images,
ICCV07(1-8).
IEEE DOI 0710
BibRef
And:
Minimiser l'erreur de reprojection en reconstruction de surfaces basée images,
RFIA08(xx-yy).
PDF File. 0906
BibRef

Gargallo, P.[Pau], Sturm, P.F.[Peter F.], Pujades, S.[Sergi],
An Occupancy-Depth Generative Model of Multi-View Images,
ACCV07(II: 373-383).
Springer DOI 0711
BibRef

Eisemann, E.[Elmar], Décoret, X.[Xavier],
Fast Scene Voxelization and Applications,
SigGraph06(Article 8).
WWW Link. BibRef 0600

Anwar, Z.[Zeeshan], Ferrie, F.P.[Frank P.],
Towards Robust Voxel-Coloring: Handling Camera Calibration Errors and Partial Emptiness of Surface Voxels,
ICPR06(I: 98-102).
IEEE DOI 0609
BibRef

Weng, J.G.[Jian-Guang], Zhuang, Y.T.[Yue-Ting], Zhang, H.[Hui],
Error-Bounded Solid Voxelization for Polygonal Model Based on Heuristic Seed Filling,
ISVC05(607-612).
Springer DOI 0512
BibRef

Yin, J.F.[Jian-Feng], Cooperstock, J.R.[Jeremy R.],
A New Photo Consistency Test for Voxel Coloring,
CRV05(566-570).
IEEE DOI 0505
BibRef

Fehr, J.[Janis], Ronneberger, O.[Olaf], Kurz, H.[Haymo], Burkhardt, H.[Hans],
Self-learning Segmentation and Classification of Cell-Nuclei in 3D Volumetric Data Using Voxel-Wise Gray Scale Invariants,
DAGM05(377).
Springer DOI 0509
BibRef

Ronneberger, O.[Olaf], Fehr, J.[Janis], Burkhardt, H.[Hans],
Voxel-Wise Gray Scale Invariants for Simultaneous Segmentation and Classification,
DAGM05(85).
Springer DOI 0509
Award, GCPR, HM. BibRef

Agrafiotis, D., Bull, D.R., Canagarajah, C.N.[C. Nishan],
Region of interest coding of volumetric medical images,
ICIP03(III: 217-220).
IEEE DOI 0312
BibRef

Ruiz de Miras, J., Feito, F.R.,
Direct and robust voxelization and polygonization of free-form CSG solids,
3DPVT02(352-355).
IEEE DOI 0206
BibRef

Ayasse, J., Müller, H.,
Interactive Manipulation of Voxel Volumes with Free-Formed Voxel Tools,
VMV01(xx-yy).
PDF File. 0209
BibRef

Steinbach, E.G.[Eckehard G.], Eisert, P.[Peter], Girod, B.[Bernd], Betz, A.[Arnulf],
3-d Object Reconstruction Using Spatially Extended Voxels and Multi-hypothesis Voxel Coloring,
ICPR00(Vol I: 774-777).
IEEE DOI 0009
BibRef

Steinbach, E.G.[Eckehard G.], Girod, B.[Bernd],
3-D Reconstruction of Real-world Objects Using Extended Voxels,
ICIP00(Vol I: 569-572).
IEEE DOI 0008
BibRef

Snow, D.[Dan], Viola, P.[Paul], Zabih, R.[Ramin],
Exact Voxel Occupancy with Graph Cuts,
CVPR00(I: 345-352).
IEEE DOI 0005
intersecionts of different views; 16 views BibRef

de Bonet, J.S., Viola, P.,
Roxels: Responsibility Weighted 3D Volume Reconstruction,
ICCV99(418-425).
IEEE DOI BibRef 9900

Kimura, M.[Makoto], Saito, H.[Hideo], Kanade, T.[Takeo],
3D Voxel Construction based on Epipolar Geometry,
ICIP99(III:135-139).
IEEE DOI BibRef 9900

Kenmochi, Y.[Yukiko], Kotani, K.[Kazunori], Imiya, A.[Atsushi],
Marching Cubes Method with Connectivity,
ICIP99(IV:361-365).
IEEE DOI BibRef 9900

Oomes, S.[Stijn], Snoeren, P., Dijkstra, T.J.,
3D Shape Representation: Transforming Polygons into Voxels,
ScaleSpace97(xx). 9702
BibRef

Bouguet, J.Y.[Jean-Yves], Perona, P.[Pietro],
Visual Navigation Using a Single Camera,
ICCV95(645-652).
IEEE DOI Applied shape from motion, find and accumulate a corridor description. BibRef 9500

Jones, J.P.,
Real-Time Construction of Three-Dimensional Occupancy Maps,
CRA93(52-57). BibRef 9300

Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Multiple Views, Space Carving .