Hardas, D.M., and
Srihari, S.N.,
Progressive Refinement of 3-D Images Using Coded Binary Trees:
Algorithms and Architecture,
PAMI(6), No. 6, November 1984, pp. 748-757.
BibRef
8411
Yau, M.M.[Mann-May],
Generating Quadtrees of Cross Sections from Octrees,
CVGIP(27), No. 2, August 1984, pp. 211-238.
Elsevier DOI Quadtrees of sections orthogonal to coordinate axis.
BibRef
8408
Goldwasser, S.M.,
Reynolds, R.A.,
Real-Time Display And Manipulation Of 3-D Medical Objects: The Voxel Processor Architecture,
CVGIP( 39), No. 1, July 1987, pp. 1-27.
Elsevier DOI
BibRef
8707
Chien, C.H., and
Aggarwal, J.K.,
Model Construction and Shape Recognition from Occluding Contours,
PAMI(11), No. 4, April 1989, pp. 372-389.
IEEE DOI
BibRef
8904
Earlier:
Reconstruction and Recognition of 3-D Objects from
Occluding Contours and Silhouettes,
Univ. of Texas-TR-87-5-37.
BibRef
Earlier:
Shape Recognition from Single Silhouettes,
ICCV87(481-490).
Recognize Two-Dimensional Objects. This is a recognition of the 3-D object from feature points
on the 2-D silhouette. First a hypothesis is generated for
the match, then it is confirmed by using constraints imposed
by the view point implied by the proposed match. 2D
representation is by quadtrees and 3-D by Octrees.
BibRef
Chien, C.H., and
Aggarwal, J.K.,
Identification of 3D Objects from Multiple Silhouettes
Using Quadtrees/Octrees,
CVGIP(36), No. 2/3, November/December 1986, pp. 256-273.
Elsevier DOI 3 non-coplanar views.
BibRef
8611
Chien, C.H., and
Aggarwal, J.K.,
Volume/Surface Octrees for the Representation of
Three-Dimensional Objects,
CVGIP(36), No. 1, October 1986, pp. 100-113.
Elsevier DOI
BibRef
8610
Earlier:
Computation of Volume/Surface Octrees from
Contours and Silhouettes of Multiple Views,
CVPR86(250-255).
BibRef
Earlier:
A Volume/Surface Octree Representation,
ICPR84(817-820).
BibRef
Earlier:
Reconstruction and Matching of 3-D Objects using Quadtrees/Octrees,
CVWS85(49-54).
Volumetric representation. Quadtree of different views is mapped into
an octree. These are combined to get the full description.
For quadtrees:
See also Normalized Quadtree Representation, A.
BibRef
Chien, C.H.,
Sim, Y.B., and
Aggarwal, J.K.,
Generation of Volume/Surface Octree from Range Data,
CVPR88(254-260).
IEEE DOI Combining several views in the octree representation (from range data).
BibRef
8800
Kim, Y.C., and
Aggarwal, J.K.,
Rectangular Parallelepiped Coding:
A Volumetric Representation of Three-Dimensional Objects,
RA(2), No. 3, Sept 1986, pp. 127-134.
See also Positioning Three-Dimensional Objects Using Stereo Images.
BibRef
8609
Kim, Y.C., and
Aggarwal, J.K.,
Rectangular Parallelepiped Coding for Solid Modeling,
RA(1), No. 3, 1986, pp. 77-85.
An extended version of the oct-tree concept.
BibRef
8600
Kim, Y.C., and
Aggarwal, J.K.,
Rectangular Coding for Binary Images,
CVPR83(108-113).
BibRef
8300
Raviv, D.,
Pao, Y.H., and
Loparo, K.A.,
Reconstruction of Three-Dimensional Surfaces from Two-Dimensional
Binary Images,
RA(5), No. 5, October 1989, pp. 701-710.
(May be in the wrong place.)
BibRef
8905
Noborio, H.,
Fukuda, S., and
Arimoto, S.,
Construction of the Octree Approximating Three-Dimensional Objects by
Using Multiple Views,
PAMI(10), No. 6, November 1988, pp. 769-782.
IEEE DOI
BibRef
8811
Earlier:
A Fast Algorithm for Building the Octree for a Three-Dimensional Object
from Its Multiple Images,
ICPR88(II: 860-862).
IEEE DOI Uses a polyhedral cone generated from views of the object. Basic.
BibRef
Brunet, P.,
Navazo, I.,
Solid Representation and Operation Using Extended Octrees,
TOG(9), 1990, pp. 170-197.
BibRef
9000
Srivastava, S.K.[Sanjay K.],
Ahuja, N.[Narendra],
Octree Generation from Object Silhouettes in Perspective Views,
CVGIP(49), No. 1, January 1990, pp. 68-84.
Elsevier DOI
BibRef
9001
Ahuja, N.[Narendra],
Veenstra, J.,
Generating Octrees from Object Silhouettes in Orthographic Views,
PAMI(11), No. 2, February 1989, pp. 137-149.
IEEE DOI
BibRef
8902
Earlier: A2, A1:
Efficient Octree Generation from Silhouettes,
CVPR86(537-542).
Viewing is from 13 standard views (3 faces, 6 edges, 4 corners),
these provide a direct mapping from the view to the octree. Find
the intersection of the octree space with the given image.
BibRef
Veenstra, J.,
Ahuja, N.[Narendra],
Line Drawings of Octree-Represented Objects,
TOG(7), 1988, pp. 61-75.
BibRef
8800
Ahuja, N.[Narendra],
Nash, C.[Charles],
Octree Representations of Moving Objects,
CVGIP(26), No. 2, May 1984, pp. 207-216.
Elsevier DOI
BibRef
8405
Earlier: A2, A1:
CVPR83(380-381).
Update while object under linear translation
BibRef
Oase, W.M.,
Ahuja, N.,
Efficient Octree Representation of Moving Objects,
ICPR84(821-823).
BibRef
8400
Weng, J.Y.[Ju-Yang], and
Ahuja, N.[Narendra],
Octree Representation of Objects in Arbitrary Motion:
Representation and Efficiency,
CVGIP(39), No. 2, August 1987, pp. 167-185.
Elsevier DOI
BibRef
8708
Earlier:
CVPR85(524-529).
Representation problem, incremental changes in the octree.
BibRef
Potmesil, M.[Michael],
Generating Octree Models of 3D
Objects from Their Silhouettes in a Sequence of Images,
CVGIP(40), No. 1, October 1987, pp. 1-29.
Elsevier DOI
BibRef
8710
Earlier:
Generating Models of Solid Objects by Matching 3D Surface Segments,
IJCAI83(1089-1093).
BibRef
And:
Generating Three-Dimensional Surface Models of Solid Objects from
Multiple Projections,
Ph.D.Thesis, 1982,
BibRef
RPI-IPL-TR-033.
(Spatial matching of segments of an object to
generate the complete 3D representation.) The series of 3-D conic volumes
determined by the silhouette are intersected using octrees for the
representation method.
See also Generation of 3D Surface Descriptions from Images of Pattern Illuminated Objects.
BibRef
Pujari, L.A.K.[Lavakusha Arun K.],
Reddy, P.G.,
Linear Octrees by Volume Intersection,
CVGIP(45), No. 3, March 1989, pp. 371-379.
Elsevier DOI Intersection of 3 orthogonal silhouettes.
BibRef
8903
Ibaroudene, D.[Djaffer],
Demjanenko, V.[Victor],
Acharya, R.S.[Raj S.],
Adjacency Algorithms for Linear Octree Nodes,
IVC(8), No. 2, May 1990, pp. 115-123.
Elsevier DOI rectangular (X,Y,Z) coordinate from octal locational code of linear octtree.
BibRef
9005
Minovic, P.,
Ishikawa, S., and
Kato, K.,
Symmetry Identification of a 3-D Object Represented by Octree,
PAMI(15), No. 5, May 1993, pp. 507-514.
IEEE DOI
BibRef
9305
Szeliski, R.S.[Richard S.],
Rapid Octree Construction from Image Sequences,
CVGIP(58), No. 1, July 1993, pp. 23-32.
DOI Link
BibRef
9307
Earlier:
Real-Time Octree Generation from Rotating Objects,
DEC-CRL-90-12, December 1990.
HTML Version.
BibRef
Szeliski, R.S.,
Shape From Rotation,
CVPR91(625-631).
IEEE DOI
BibRef
9100
And:
DEC-CRL-90-13, December 1990.
HTML Version. Given OF and a rotating object determine shape. This is related to
the slider stereo work.
BibRef
Shu, R.B.[Ren Ben],
Kankanhalli, M.S.[Mohan S.],
Efficient Linear Octree Generation from Voxels,
IVC(12), No. 5, June 1994, pp. 297-303.
Elsevier DOI First extract the surface, then partition into parallelpipeds.
BibRef
9406
Bauer, M.A.,
Feeney, S.T.,
Gargantini, I.,
Parallel 3-D Filling with Octrees,
PDC(22), No. 1, 1994, pp. 121-128.
Fill using the boundary.
BibRef
9400
Whang, K.Y.,
Song, J.W.,
Chang, J.W.,
Kim, J.Y.,
Cho, W.S.,
Park, C.M.,
Song, I.Y.,
Octree-R: An Adaptive Octree for Efficient Ray-Tracing,
VCG(1), No. 4, December 1995, pp. 343-349.
BibRef
9512
Nitya, V.B.,
Sridevi, N.,
Pujari, A.K.,
Linear Octree by Volume Intersection Using Perspective Silhouettes,
PRL(13), 1992, pp. 781-788.
BibRef
9200
Pai, A.G.,
Usha, H.,
Pujari, A.K.,
Linear Octree of a 3D Object from 2D Silhouettes Using Segment Tree,
PRL(11), 1990, pp. 619-623.
BibRef
9000
Vörös, J.,
A strategy for repetitive neighbor finding in octree representations,
IVC(18), No. 14, November 2000, pp. 1085-1091.
Elsevier DOI
0101
BibRef
Cointepas, Y.[Yann],
Bloch, I.[Isabelle],
Garnero, L.[Line],
A cellular model for multi-objects multi-dimensional homotopic
deformations,
PR(34), No. 9, September 2001, pp. 1785-1798.
Elsevier DOI
0108
BibRef
Earlier:
Joined segmentation of cortical surface and brain volume in MRI using a
homotopic deformable cellular model,
3DIM99(240-248).
IEEE DOI
9910
BibRef
Lim, S.H.[Suk-Hyun],
Shin, B.S.[Byeong-Seok],
A distance template for octree traversal in CPU-based volume ray
casting,
VC(24), No. 4, April 2008, pp. xx-yy.
Springer DOI
0804
BibRef
Bai, Y.[Ying],
Han, X.[Xiao],
Prince, J.L.[Jerry L.],
Digital Topology on Adaptive Octree Grids,
JMIV(34), No. 2, June 2009, pp. xx-yy.
Springer DOI
0906
BibRef
Earlier:
CVPR07(1-8).
IEEE DOI
0706
BibRef
Earlier:
Octree-Based Topology-Preserving Isosurface Simplification,
MMBIA06(81).
IEEE DOI
0609
See also Moving Grid Framework for Geometric Deformable Models, A.
BibRef
Lenz, R.[Reiner],
Carmona, P.L.[Pedro Latorre],
Octahedral Transforms for 3-D Image Processing,
IP(18), No. 12, December 2009, pp. 2618-2628.
IEEE DOI
0912
Linear filters and generalizations of Fourier Transform.
BibRef
Chen, W.C.[Wen-Chao],
Chou, H.L.[Hong-Long],
Chen, Z.[Zen],
A quality controllable multi-view object reconstruction method for 3D
imaging systems,
JVCIR(21), No. 5-6, July-August 2010, pp. 427-441.
Elsevier DOI
1007
BibRef
Earlier: A3, A2, A1:
A performance controllable octree construction method,
ICPR08(1-4).
IEEE DOI
0812
3D imaging system; Modeling from silhouettes; Octree model; XOR
projection error; System performance; Dynamic modeling; Progressive
transmission; Multi-camera system
BibRef
Leblanc, L.[Luc],
Houle, J.[Jocelyn],
Poulin, P.[Pierre],
Modeling with blocks,
VC(27), No. 6-8, June 2011, pp. 555-563.
WWW Link.
1107
BibRef
Goradia, R.[Rhushabh],
Kashyap, M.S.S.[M. S. Sriram],
Chaudhuri, P.[Parag],
Chandran, S.[Sharat],
Tracing specular light paths in point-based scenes,
VC(27), No. 12, December 2011, pp. 1083-1097.
WWW Link.
1112
BibRef
Earlier: A2, A1, A3, A4:
Implicit surface octrees for ray tracing point models,
ICCVGIP10(227-234).
DOI Link
1111
BibRef
Elseberg, J.[Jan],
Borrmann, D.[Dorit],
Nüchter, A.[Andreas],
One billion points in the cloud: An octree for efficient processing of
3D laser scans,
PandRS(76), No. 1, February 2013, pp. 76-88.
Elsevier DOI
1301
Octree; Tree data structure; Data compression; Frustum culling; Ray
casting; RANSAC; Nearest neighbor search
BibRef
Su, Y.T.[Yun-Ting],
Bethel, J.[James],
Hu, S.W.[Shuo-Wen],
Octree-based segmentation for terrestrial LiDAR point cloud data in
industrial applications,
PandRS(113), No. 1, 2016, pp. 59-74.
Elsevier DOI
1602
Terrestrial LiDAR
BibRef
Zhang, Y.[Yi],
The D-FCM partitioned D-BSP tree for massive point cloud data access
and rendering,
PandRS(120), No. 1, 2016, pp. 25-36.
Elsevier DOI
1610
Directional FCM
BibRef
de Queiroz, R.L.,
Garcia, D.C.,
Chou, P.A.,
Florencio, D.A.,
Distance-Based Probability Model for Octree Coding,
SPLetters(25), No. 6, June 2018, pp. 739-742.
IEEE DOI
1806
encoding, geometry, octrees, probability, arithmetic coder, bit rate,
context-driven method, distance-based probability model,
point-cloud compression
BibRef
Garcia, D.C.,
Fonseca, T.A.,
Ferreira, R.U.,
de Queiroz, R.L.,
Geometry Coding for Dynamic Voxelized Point Clouds Using Octrees and
Multiple Contexts,
IP(29), No. 1, 2020, pp. 313-322.
IEEE DOI
1910
arithmetic codes, data compression, image coding, octrees,
tree codes, geometry coding, dynamic voxelized point clouds,
geometry compression
BibRef
Garcia, D.C.[Diogo C.],
Dorea, C.[Camilo],
Ferreira, R.U.B.[Renan U. B.],
Freitas, D.R.[Davi R.],
de Queiroz, R.L.[Ricardo L.],
Higa, R.[Rogerio],
Seidel, I.[Ismael],
Testoni, V.[Vanessa],
Differential Transform for Video-Based Plenoptic Point Cloud Coding,
IP(31), 2022, pp. 1994-2003.
IEEE DOI
2203
Image color analysis, Point cloud compression, Payloads, Cameras,
Decoding, Image coding, Transforms, Point-cloud compression, video-based point cloud compression
BibRef
Garcia, D.C.,
de Queiroz, R.L.,
Intra-Frame Context-Based Octree Coding for Point-Cloud Geometry,
ICIP18(1807-1811)
IEEE DOI
1809
BibRef
Earlier:
Context-based octree coding for point-cloud video,
ICIP17(1412-1416)
IEEE DOI
1803
Octrees, Encoding, Geometry, Decoding,
Transform coding,
real-time point-cloud transmission.
Entropy, Image coding, Streaming media,
3D immersive video.
real-time point-cloud transmission
BibRef
Miltiadou, M.[Milto],
Campbell, N.D.F.[Neill D. F.],
Cosker, D.[Darren],
Grant, M.G.[Michael G.],
A Comparative Study about Data Structures Used for Efficient
Management of Voxelised Full-Waveform Airborne LiDAR Data during 3D
Polygonal Model Creation,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Liu, J.C.[Jun-Cheng],
Mills, S.[Steven],
McCane, B.[Brendan],
RocNet: Recursive octree network for efficient 3D processing,
CVIU(224), 2022, pp. 103555.
Elsevier DOI
2211
BibRef
Earlier:
RocNet: Recursive Octree Network for Efficient 3D Deep Representation,
3DV20(414-422)
IEEE DOI
2102
Recursive, 3D shape, Deep representation, Segmentation, Classification.
Octrees, Decoding, Convolution, Topology, Shape
BibRef
Gao, P.[Pan],
Luo, S.Z.[Sheng-Zhou],
Paul, M.[Manoranjan],
Rate-Distortion Modeling for Bit Rate Constrained Point Cloud
Compression,
CirSysVideo(33), No. 5, May 2023, pp. 2424-2438.
IEEE DOI
2305
Point cloud compression, Bit rate, Geometry, Encoding, Color,
Nonlinear distortion, Octrees, Point cloud compression,
Lagrange multiplier
BibRef
Han, X.[Xue],
Ni, J.[Jianfu],
Yin, C.C.[Chang-Chun],
Zhang, B.[Bo],
Huang, X.[Xin],
Zhu, J.[Jiao],
Liu, Y.H.[Yun-He],
Ren, X.[Xiuyan],
Su, Y.[Yang],
3D Airborne EM Forward Modeling Based on Finite-Element Method with
Goal-Oriented Adaptive Octree Mesh,
RS(15), No. 11, 2023, pp. 2816.
DOI Link
2306
BibRef
Nguyen, D.T.[Dat Thanh],
Kaup, A.[André],
Lossless Point Cloud Geometry and Attribute Compression Using a
Learned Conditional Probability Model,
CirSysVideo(33), No. 8, August 2023, pp. 4337-4348.
IEEE DOI
2308
Point cloud compression, Geometry, Octrees, Transforms, Image coding,
Context modeling, Point cloud attribute coding, CNeT, G-PCC,
sparse convolution
BibRef
Sun, C.[Chang],
Yuan, H.[Hui],
Mao, X.L.[Xiao-Long],
Lu, X.[Xin],
Hamzaoui, R.[Raouf],
Enhancing Octree-Based Context Models for Point Cloud Geometry
Compression With Attention-Based Child Node Number Prediction,
SPLetters(31), 2024, pp. 1835-1839.
IEEE DOI
2408
Context modeling, Predictive models, Point cloud compression,
Probability distribution, Loss measurement, Solid modeling,
point cloud geometry compression
BibRef
Deng, C.X.L.[Chen-Xi Lola],
Tartaglione, E.[Enzo],
Compressing Explicit Voxel Grid Representations:
fast NeRFs become also small,
WACV23(1236-1245)
IEEE DOI
2302
Training, Costs, Computational modeling, Neural networks,
Benchmark testing, Algorithms: 3D computer vision
BibRef
Mi, Z.,
Luo, Y.,
Tao, W.,
SSRNet: Scalable 3D Surface Reconstruction Network,
CVPR20(967-976)
IEEE DOI
2008
Surface reconstruction, Octrees,
Reconstruction algorithms, Surface treatment, Scalability, Shape
BibRef
Huang, L.,
Wang, S.,
Wong, K.,
Liu, J.,
Urtasun, R.,
OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression,
CVPR20(1310-1320)
IEEE DOI
2008
Octrees, Entropy, Laser radar, Entropy coding, Adaptation models
BibRef
Zhang, J.,
Zhu, C.,
Zheng, L.,
Xu, K.,
Fusion-Aware Point Convolution for Online Semantic 3D Scene
Segmentation,
CVPR20(4533-4542)
IEEE DOI
2008
Convolution,
Semantics, Octrees, Geometry
BibRef
Chitta, K.,
Álvarez, J.M.,
Hebert, M.,
Quadtree Generating Networks: Efficient Hierarchical Scene Parsing
with Sparse Convolutions,
WACV20(2009-2018)
IEEE DOI
2006
Semantics, Image segmentation, Memory management, Decoding,
Octrees, Image resolution
BibRef
Vespa, E.,
Funk, N.,
Kelly, P.H.J.,
Leutenegger, S.[Stefan],
Adaptive-Resolution Octree-Based Volumetric SLAM,
3DV19(654-662)
IEEE DOI
1911
Octrees, Simultaneous localization and mapping, Cameras, Pipelines,
Rendering (computer graphics), Indexes, 3D Reconstruction
BibRef
Braeger, S.[Sarah],
Foroosh, H.[Hassan],
Curvature Augmented Deep Learning for 3D Object Recognition,
ICIP18(3648-3652)
IEEE DOI
1809
Incorporate shape in CNN.
Face, Shape, Training,
Object recognition, Solid modeling, Computational modeling,
Deep Learning
BibRef
Riegler, G.[Gernot],
Ulusoy, A.O.[Ali Osman],
Geiger, A.[Andreas],
OctNet: Learning Deep 3D Representations at High Resolutions,
CVPR17(6620-6629)
IEEE DOI
1711
Arrays, Image resolution, Memory management, Octrees, Shape
BibRef
Bhattacharya, S.[Sounak],
Fan, L.X.[Li-Xin],
Babahajiani, P.[Pouria],
Gabbouj, M.[Moncef],
Global Scale Integral Volumes,
CVRoads16(I: 192-204).
Springer DOI
1611
Octtree for Lidar data.
BibRef
Caraffa, L.[Laurent],
Brédif, M.[Mathieu],
Vallet, B.[Bruno],
3D Watertight Mesh Generation with Uncertainties from Ubiquitous Data,
ACCV16(IV: 377-391).
Springer DOI
1704
BibRef
Earlier:
3D Octree Based Watertight Mesh Generation from Ubiquitous Data,
GeoBigData15(613-617).
DOI Link
1602
BibRef
Nguyen, H.P.[Hoang-Phong],
Hong, S.[Seungpyo],
Kim, J.[Jinwook],
Hierarchical OBB-sphere tree for large-scale range data management,
ICIP13(839-843)
IEEE DOI
1402
Cameras
BibRef
Sandberg, D.,
Forssen, P.,
Ogniewski, J.,
Model-Based Video Coding Using Colour and Depth Cameras,
DICTA11(158-163).
IEEE DOI
1205
E.g. Kinect. Model-based coding with camera motion and 3-D for key-frames.
Quad-tree at key frame, linear camera motion between.
BibRef
Mak, W.H.[Wai-Ho],
Chan, M.Y.[Ming-Yuen],
Wu, Y.C.[Ying-Cai],
Chung, K.K.[Ka-Kei],
Qu, H.M.[Hua-Min],
VoxelBars: An Informative Interface for Volume Visualization,
ISVC08(I: 161-170).
Springer DOI
0812
BibRef
Wu, Y.C.[Ying-Cai],
Qu, H.M.[Hua-Min],
Zhou, H.[Hong],
Chan, M.Y.[Ming-Yuen],
Fusing Features in Direct Volume Rendered Images,
ISVC06(I: 273-282).
Springer DOI
0611
BibRef
And:
Focus + Context Visualization with Animation,
PSIVT06(1293-1302).
Springer DOI
0612
To visualize medical data.
BibRef
Wong, H.C.[Hon-Cheng],
Qu, H.M.[Hua-Min],
Wong, U.H.[Un-Hong],
Tang, Z.[Zesheng],
Mueller, K.[Klaus],
A Perceptual Framework for Comparisons of Direct Volume Rendered Images,
PSIVT06(1314-1323).
Springer DOI
0612
BibRef
Lin, J.C.[Jun-Cong],
Jin, X.G.[Xiao-Gang],
Fan, Z.G.[Zhen-Gwen],
Wang, C.C.L.[Charlie C. L.],
Automatic PolyCube-Maps,
GMP08(xx-yy).
Springer DOI
0804
BibRef
Lee, P.F.[Pai-Feng],
Chiang, C.H.[Chien-Hsing],
Tseng, J.L.[Juin-Ling],
Jong, B.S.[Bin-Shyan],
Lin, T.W.[Tsong-Wuu],
Octree Subdivision Using Coplanar Criterion for Hierarchical Point
Simplification,
PSIVT06(54-63).
Springer DOI
0612
BibRef
Samet, H.,
Kochut, A.,
Octree approximation and compression methods,
3DPVT02(460-469).
0206
BibRef
Cano, P.,
Torres, J.C.,
Representation of Polyhedral Objects Using SP-Octrees,
WSCG02(95).
HTML Version.
0209
BibRef
Velasco, F.,
Torres, J.C.,
Cells Octree: A New Data Structure for Volume Modeling and
Visualization,
VMV01(xx-yy).
PDF File.
0209
BibRef
Cheung, G.K.M.[German K. M.],
Kanade, T.[Takeo],
Bouguet, J.Y.[Jean-Yves],
Holler, M.[Mark],
A Real Time System for Robust 3D Voxel Reconstruction of Human Motions,
CVPR00(II: 714-720).
IEEE DOI
PDF File.
HTML Version.
0005
BibRef
Sojan Lal, P.,
Unnikrishnan, A.,
Poulose Jacob, K.,
Parallel implementation of octtree generation algorithm,
ICIP98(III: 1005-1009).
IEEE DOI
9810
BibRef
Kitamura, Y.,
Kishino, F.,
A Parallel Algorithm for Octree Generation from
Polyhedral Shape Representation,
ICPR96(IV: 303-309).
IEEE DOI
9608
(ATR Communication Systems, J)
BibRef
Mori, T.,
Suzuki, S.,
Horikoshi, T., and
Yasuno, T.,
Multi-Scale Structure from Multi-Views by d{2}G Filtered 3D Voting,
CVPR93(662-663).
IEEE DOI
BibRef
9300
Connolly, C.I.,
Cumulative Generation of Octree Models from Range Data,
Conf. on RoboticsAtlanta, March 1984, pp. 25-32.
BibRef
8403
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Occupancy Grids, Voxels .