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» Objective Functions for Feature Discrimination
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WACV
2008
IEEE
15 years 6 months ago
Likelihood Map Fusion for Visual Object Tracking
Visual object tracking can be considered as a figure-ground classification task. In this paper, different features are used to generate a set of likelihood maps for each pixel i...
Zhaozheng Yin, Fatih Porikli, Robert T. Collins
ICIP
2009
IEEE
14 years 10 months ago
Category sensitive codebook construction for object category recognition
Recently, the bag of visual words based image representation is getting popular in object category recognition. Since the codebook of the bag-of-words (BOW) based image representa...
Chunjie Zhang, Jing Liu, Yi Ouyang, Qi Tian, Hanqi...
CVPR
2012
IEEE
13 years 2 months ago
SURFing the point clouds: Selective 3D spatial pyramids for category-level object recognition
This paper proposes a novel approach to recognize object categories in point clouds. By quantizing 3D SURF local descriptors, computed on partial 3D shapes extracted from the poin...
Carolina Redondo-Cabrera, Roberto Javier Ló...
ICASSP
2009
IEEE
15 years 4 months ago
A fast feature extraction method
A fast subspace analysis and feature extraction algorithm is proposed which is based on fast Haar transform and integral vector. In rapid object detection and conventional binary ...
Jing Pan, Yanwei Pang, Xuelong Li, Yuan Yuan, Dach...
VIS
2004
IEEE
166views Visualization» more  VIS 2004»
16 years 1 months ago
2D Maps for Visual Analysis and Retrieval in Large Multi-Feature 3D Model Databases
Multimedia objects are often described by high-dimensional feature vectors which can be used for retrieval and clustering tasks. We have built an interactive retrieval system for ...
Benjamin Bustos, Daniel A. Keim, Christian Panse, ...