On the number of samples needed in light field rendering with constant-depth assumption

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 1, Issue , 2000, Pages 588-595

  Lin, Zhouchen ^a   Shum, Heung Yeung ^b  

^a PEKING UNIVERSITY   (China)

^b MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; COMPUTATIONAL GEOMETRY; COMPUTER SIMULATION; FEATURE EXTRACTION; IMAGE COMPRESSION; IMAGE QUALITY; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; LIGHT; THREE DIMENSIONAL COMPUTER GRAPHICS;

BILINEAR INTERPOLATION; CONSTANT DEPTH ASSUMPTION; IMAGE BASED RENDERING; IMAGE SEQUENCE; LIGHT FIELD RENDERING; SCALE SPACE THEORY; THREE DIMENSIONAL RECONSTRUCTION;

IMAGE ANALYSIS;

EID: 0033701247     PISSN: 10636919     EISSN: None     Source Type: Journal    
DOI: 10.1109/CVPR.2000.855846     Document Type: Conference Paper

References (17)

1. Y.G. Leclerc Q.-T. Luong P. Fua Measuring the self-consistency of stereo algorithms ECCV 2000 ECCV 2000 Dublin Ireland
2. L. H. Quam Computer Comparison of Pictures Computer Science 1971
3. R.L. Lillestrand Techniques for Change Detection IEEE TC 21 7 654 659 1972
4. P. L. Rosin Thresholding for Change Detection ICCV ICCV 1998
5. S. Sarkar K.. Boyer Quantitative Measures of Change Based on Feature Organization: Eigenvalues and Eigenvectors CVIU 71 1 110 136 1998
6. M. Bejanin Model Validation for Change Detection WACV WACV 1994
7. A. Huertas R. Nevada Detecting Changes in Aerial Views of Man-Made Structures ICCV ICCV 1998
8. N. Mukawa K. Miyajima S. Watanabe Detecting Changes of Buildings from Aerial Images Using Shadow and Shading Model ICPR ICPR 1998
9. T. Boult Frame-rate multi-body tracking for surveillance DARPA IU Workshop DARPA IU Workshop 1998
10. N. Ayache Artificial Vision for Mobile Robots 1991 MIT Press
11. P. Fua A Parallel Stereo Algorithm that Produces Dense Depth Maps and Preserves Image Features MVA 6 1 1993
12. Y.G. Leclerc Q.-T. Luong P. Fua A Novel Approach to Characterizing the Accuracy and Reliability of Point Correspondence Algorithms DARPA Image Understanding Workshop DARPA Image Understanding Workshop Monterey 1998
13. P. Fua Y. G. Leclerc Object-Centered Surface Reconstruction: Combining Multi-Image Stereo and Shading International Journal of Computer Vision 16 35 56 1995
14. P. Fua Y. G. Leclerc Taking Advantage of Image-Based and Geometry-Based Constraints to Recover 3--D Surfaces Computer Vision and Image Understanding 64 1 111 127 1996
15. J. Rissanen Minimum-Description-Length Principle Encyclopedia of Statistical Sciences 5 523 527 1987
16. Y. G. Leclerc Constructing Simple Stable Descriptions for Image Partitioning International Journal of Computer Vision 3 1 73 102 1989
17. Y.G. Leclerc Q.-T. Luong P. Fua A Framework for Detecting Changes in Terrain DARPA Image Understanding Workshop DARPA Image Understanding Workshop Monterey 1998