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CVPR
2001
IEEE
16 years 8 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
CVPR
2001
IEEE
16 years 8 months ago
Object Based Segmentation of Video Using Color, Motion and Spatial Information
Video segmentation is different from segmentation of a single image. While several correct solutions may exist for segmenting a single image, there needs to be a consistency among...
Sohaib Khan, Mubarak Shah
CVPR
2001
IEEE
16 years 8 months ago
Temporal Integration of Multiple Silhouette-Based Body-Part Hypotheses
A method for temporally integrating appearance-based body-part labelling is presented. We begin by modifying the silhouette labelling method of Ghost[4]; that system first determi...
Vivek Kwatra, Aaron F. Bobick, Amos Y. Johnson
170
Voted
CVPR
2003
IEEE
16 years 8 months ago
The Optimal Distance Measure for Object Detection
We develop a multi-class object detection framework whose core component is a nearest neighbor search over object part classes. The performance of the overall system is critically...
Shyjan Mahamud, Martial Hebert
CVPR
2003
IEEE
16 years 8 months ago
Practical Non-parametric Density Estimation on a Transformation Group for Vision
It is now common practice in machine vision to define the variability in an object's appearance in a factored manner, as a combination of shape and texture transformations. I...
Erik G. Miller, Christophe Chefd'Hotel