CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
We boost the efficiency and robustness of distributionbased matching by random subsampling which results in the minimum number of samples required to achieve a specified probabili...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
Traditional aspect graphs are topology-based and are impractical for articulated objects. In this work we learn a small number of aspects, or prototypical views, from video data. ...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
To implement a persistent tracker, we build a set of viewdependent object appearance models adaptively and automatically while tracking an object under different viewing angles. T...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
We propose a cord distance in the space of dynamical models that takes into account their dynamics, including transients, output maps and input distributions. In data analysis app...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
We present an approach for measuring similarity between visual entities (images or videos) based on matching internal self-similarities. What is correlated across images (or acros...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
Matching and registration of shapes is a key issue in Computer Vision, Pattern Recognition, and Medical Image Analysis. This paper presents a shape representation framework based ...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
We propose a method for learning using a set of feature representations which retrieve different amounts of information at different costs. The goal is to create a more efficient ...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
A novel algorithm for robustly segmenting changes between different images of a scene is presented. This computationally efficient algorithm is based on a non-linear comparison of...