CVPR
2007
IEEE
15 years 5 days ago
2007
IEEE
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
CVPR
2007
IEEE
15 years 5 days ago
2007
IEEE
This paper explores the use of volumetric features for action recognition. First, we propose a novel method to correlate spatio-temporal shapes to video clips that have been autom...
CVPR
2007
IEEE
15 years 5 days ago
2007
IEEE
The goal of this paper is to find sparse and representative spatial priors that can be applied to part-based object localization. Assuming a GMRF prior over part configurations, w...
CVPR
2007
IEEE
15 years 5 days ago
2007
IEEE
CVPR
2007
IEEE
15 years 5 days ago
2007
IEEE
The state-of-the-art object detection algorithm learns a binary classifier to differentiate the foreground object from the background. Since the detection algorithm exhaustively s...
CVPR
2007
IEEE
15 years 5 days ago
2007
IEEE
Current approaches to motion category recognition typically focus on either full spatiotemporal volume analysis (holistic approach) or analysis of the content of spatiotemporal in...
CVPR
2007
IEEE
15 years 5 days ago
2007
IEEE
In this paper we derive differential equations for evolving radial basis functions (RBFs) to solve segmentation problems. The differential equations result from applying variation...
CVPR
2007
IEEE
15 years 5 days ago
2007
IEEE
The compositional nature of visual objects significantly limits their representation complexity and renders learning of structured object models tractable. Adopting this modeling ...
CVPR
2007
IEEE
15 years 5 days ago
2007
IEEE
In this paper we present two contributions to improve accuracy and speed of an image search system based on bag-of-features: a contextual dissimilarity measure (CDM) and an effici...
CVPR
2007
IEEE
15 years 5 days ago
2007
IEEE
In visual 3-D reconstruction tasks with mobile cameras, one wishes to move the cameras so that they provide the views that lead to the best reconstruction result. When the camera ...