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CVPR
2004
IEEE
15 years 3 days ago
Probabilistic Parameter-Free Motion Detection
We propose an original probabilistic parameter-free method for the detection of independently moving objects in an image sequence. We apply a probabilistic perceptual principle, t...
Frédéric Cao, Patrick Bouthemy, Thom...
CVPR
2004
IEEE
15 years 3 days ago
Role of Shape and Kinematics in Human Movement Analysis
Human gait and activity analysis from video is presently attracting a lot of attention in the computer vision community. In this paper, we analyze the role of two of the most impo...
Ashok Veeraraghavan, Amit K. Roy Chowdhury, Rama C...
CVPR
2004
IEEE
15 years 3 days ago
Estimating Illumination Direction from Textured Images
We study the problem of estimating the illuminant's direction from images of textured surfaces. Given an isotropic, Gaussian random surface with constant albedo, Koenderink an...
Manik Varma, Andrew Zisserman
CVPR
2004
IEEE
15 years 3 days ago
Using Plane + Parallax for Calibrating Dense Camera Arrays
A light field consists of images of a scene taken from different viewpoints. Light fields are used in computer graphics for image-based rendering and synthetic aperture photograph...
Vaibhav Vaish, Bennett Wilburn, Neel Joshi, Marc L...
CVPR
2004
IEEE
15 years 3 days ago
Synchronizing Video Sequences
Tinne Tuytelaars, Luc J. Van Gool
CVPR
2004
IEEE
15 years 3 days ago
A Correlation-Based Model Prior for Stereo
All non-trivial stereo problems need model priors to deal with ambiguities and noise perturbations. To meet requirements of increasingly demanding tasks such as modeling for rende...
Yanghai Tsin, Takeo Kanade
CVPR
2004
IEEE
15 years 3 days ago
Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection
We consider the problem of detecting a large number of different object classes in cluttered scenes. Traditional approaches require applying a battery of different classifiers to ...
Antonio B. Torralba, Kevin P. Murphy, William T. F...
CVPR
2004
IEEE
15 years 3 days ago
Random Sampling Based SVM for Relevance Feedback Image Retrieval
Relevance feedback (RF) schemes based on support vector machine (SVM) have been widely used in content-based image retrieval. However, the performance of SVM based RF is often poo...
Dacheng Tao, Xiaoou Tang