11.9.2 Oct-Trees -- Use

Chapter Contents (Back)

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.,
Generating Quadtrees of Cross Sections from Octrees,
CVGIP(27), No. 2, August 1984, pp. 211-238.
WWW Link. 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.
WWW Link. 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
Reconstruction and Recognition of 3-D Objects from Occluding Contours and Silhouettes,
Univ. of Texas-TR-87-5-37. BibRef
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.
WWW Link. 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.
WWW Link. BibRef 8610
Computation of Volume/Surface Octrees from Contours and Silhouettes of Multiple Views,
CVPR86(250-255). BibRef
A Volume/Surface Octree Representation,
ICPR84(817-820). BibRef
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,
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
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., and Ahuja, N.,
Octree Generation from Object Silhouettes in Perspective Views,
CVGIP(49), No. 1, January 1990, pp. 68-84.
WWW Link. BibRef 9001

Ahuja, N., and 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.,
Line Drawings of Octree-Represented Objects,
TOG(7), 1988, pp. 61-75. BibRef 8800

Ahuja, N., Nash, C.,
Octree Representations of Moving Objects,
CVGIP(26), No. 2, May 1984, pp. 207-216.
WWW Link. BibRef 8405
Earlier: A2, A1: CVPR83(380-381). 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.
WWW Link. 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.
WWW Link. BibRef 8710
Generating Models of Solid Objects by Matching 3D Surface Segments,
IJCAI83(1089-1093). BibRef
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

Bai, Z.D., Krishnaiah, P.R., Rao, C.R., Reddy, P.S., Sun, Y.N., and Zhao, L.C.,
Reconstruction of the Left Ventricle from Two Orthogonal Projections,
CVGIP(47), No. 2, August 1989, pp. 165-188.
WWW Link. BibRef 8908

Lavakusha, Pujari, A.K., and Reddy, P.G.,
Linear Octrees by Volume Intersection,
CVGIP(45), No. 3, March 1989, pp. 371-379.
WWW Link. Intersection of 3 orthogonal silhouettes. BibRef 8903

Ibaroudene, D., Demjanenko, V., Acharya, R.S.,
Adjacency Algorithms for Linear Octree Nodes,
IVC(8), No. 2, May 1990, pp. 115-123.
WWW Link. 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.
WWW Link. BibRef 9307
Real-Time Octree Generation from Rotating Objects,
DEC-CRL-90-12, December 1990.
HTML Version. BibRef

Szeliski, R.S.,
Shape From Rotation,
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., Kankanhalli, M.S.,
Efficient Linear Octree Generation from Voxels,
IVC(12), No. 5, June 1994, pp. 297-303.
WWW Link. 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.
WWW Link. 0101

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.
WWW Link. 0108
Joined segmentation of cortical surface and brain volume in MRI using a homotopic deformable cellular model,

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

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
Earlier: CVPR07(1-8).
Octree-Based Topology-Preserving Isosurface Simplification,
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.
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
Earlier: A3, A2, A1:
A performance controllable octree construction method,
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

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
Earlier: A2, A1, A3, A4:
Implicit surface octrees for ray tracing point models,
DOI Link 1111

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

Riegler, G.[Gernot], Ulusoy, A.O.[Ali Osman], Geiger, A.[Andreas],
OctNet: Learning Deep 3D Representations at High Resolutions,
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
3D Octree Based Watertight Mesh Generation from Ubiquitous Data,
DOI Link 1602

Nguyen, H.P.[Hoang-Phong], Hong, S.[Seungpyo], Kim, J.[Jinwook],
Hierarchical OBB-sphere tree for large-scale range data management,
Cameras BibRef

Sandberg, D., Forssen, P., Ogniewski, J.,
Model-Based Video Coding Using Colour and Depth Cameras,
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

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
Focus + Context Visualization with Animation,
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,
Springer DOI 0612

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,
Springer DOI 0804

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,
Springer DOI 0612

Samet, H., Kochut, A.,
Octree approximation and compression methods,
3DPVT02(460-469). 0206

Cano, P., Torres, J.C.,
Representation of Polyhedral Objects Using SP-Octrees,
HTML Version. 0209

Velasco, F., Torres, J.C.,
Cells Octree: A New Data Structure for Volume Modeling and Visualization,
PDF File. 0209

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).
PDF File.
HTML Version. 0005

Sojan Lal, P., Unnikrishnan, A., Poulose Jacob, K.,
Parallel implementation of octtree generation algorithm,
ICIP98(III: 1005-1009).

Kitamura, Y., Kishino, F.,
A Parallel Algorithm for Octree Generation from Polyhedral Shape Representation,
ICPR96(IV: 303-309).
(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,
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 .

Last update:Dec 7, 2017 at 17:23:10