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111
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CVPR
2003
IEEE
16 years 2 months ago
Extracting Dense Features for Visual Correspondence with Graph Cuts
We present a method for extracting dense features from stereo and motion sequences. Our dense feature is defined symmetrically with respect to both images, and it is extracted dur...
Olga Veksler
ICPR
2008
IEEE
15 years 7 months ago
On edge structure based adaptive observation model for facial feature tracking
Facial feature tracking is a crucial and challenging task in computer vision. Recently online-learning methods have become increasingly popular on account of their strong ability ...
Xiaoyan Wang, Yangsheng Wang, Xuetao Feng, Mingcai...
108
Voted
PR
2007
149views more  PR 2007»
14 years 12 months ago
Real-time detection of steam in video images
In this paper, we present a real-time image processing technique for the detection of steam in video images. The assumption made is that the presence of steam acts as a blurring p...
Ricardo J. Ferrari, H. Zhang, C. R. Kube
126
Voted
CVPR
2009
IEEE
1385views Computer Vision» more  CVPR 2009»
16 years 5 months ago
Distance Transform Templates for Object Detection and Pose Estimation
We propose a new approach for detecting low textured planar objects and estimating their 3D pose. Standard matching and pose estimation techniques often depend on texture and fe...
Stefan Holzer, Stefan Hinterstoisser, Slobodan Ili...
CLEAR
2006
Springer
133views Biometrics» more  CLEAR 2006»
15 years 4 months ago
Multi-feature Graph-Based Object Tracking
We present an object detection and tracking algorithm that addresses the problem of multiple simultaneous targets tracking in realworld surveillance scenarios. The algorithm is bas...
Murtaza Taj, Emilio Maggio, Andrea Cavallaro