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» Generic Scene Recovery Using Multiple Images
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123
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ICIP
1999
IEEE
16 years 3 months ago
Realistic 3-D Scene Modeling from Uncalibrated Image Sequences
This contribution addresses the problem of obtaining photorealistic 3D models of a scene from images alone with a structure-from-motion approach. The 3D scene is observed from mul...
Reinhard Koch, Marc Pollefeys, Luc J. Van Gool
97
Voted
ICIP
2005
IEEE
16 years 3 months ago
Bit allocation and quantizer optimization in multiple description coding with oversampled filterbanks
Multiple Description coding has been recently proposed for images and video transmission in packet erasure channels because of its good loss recovery capability. In this paper, we...
Riccardo Bernardini, Luca Celetto, Roberto Rinaldo...
121
Voted
CVPR
2006
IEEE
15 years 8 months ago
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
121
Voted
CVPR
2004
IEEE
16 years 4 months ago
Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting
We assess the applicability of several popular learning methods for the problem of recognizing generic visual categories with invariance to pose, lighting, and surrounding clutter...
Fu Jie Huang, Léon Bottou, Yann LeCun
103
Voted
WCE
2007
15 years 3 months ago
Further Improvement of Super-Resolution Reconstruction
— We propose a novel approach to improve further the quality of recovered images from standard super-resolution reconstruction, using Lewitt’s Kaiser-Bessel window functions (b...
Edward Y. T. Ho, Andrew Todd-Pokropek