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» Object Recognition Using Segmentation for Feature Detection
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ICRA
2009
IEEE
255views Robotics» more  ICRA 2009»
16 years 1 months ago
Combining color-based invariant gradient detector with HoG descriptors for robust image detection in scenes under cast shadows
— In this work we present a robust detection method in outdoor scenes under cast shadows using color based invariant gradients in combination with HoG local features. The method ...
Michael Villamizar, Jorge Scandaliaris, Alberto Sa...
ICASSP
2009
IEEE
15 years 10 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...
PAMI
2012
13 years 8 months ago
LDAHash: Improved Matching with Smaller Descriptors
—SIFT-like local feature descriptors are ubiquitously employed in such computer vision applications as content-based retrieval, video analysis, copy detection, object recognition...
Christoph Strecha, Alexander A. Bronstein, Michael...
CVPR
2010
IEEE
16 years 1 days ago
Robust Order-based Methods for Feature Description
Feature-based methods have found increasing use in many applications such as object recognition, 3D reconstruction and mosaicing. In this paper, we focus on the problem of matchin...
Raj Gupta, Anurag Mittal, Harshal Patil
ICCV
2009
IEEE
16 years 11 months ago
Evaluating Information Contributions of Bottom-up and Top-down Processes
This paper presents a method to quantitatively evaluate information contributions of individual bottom-up and topdown computing processes in object recognition. Our objective is...
Xiong Yang, Tianfu Wu, Song-Chun Zhu