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» Robust object detection scheme using feature selection
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ECCV
2008
Springer
15 years 11 months ago
Contour Context Selection for Object Detection: A Set-to-Set Contour Matching Approach
Abstract. We introduce a shape detection framework called Contour Context Selection for detecting objects in cluttered images using only one exemplar. Shape based detection is inva...
Qihui Zhu, Liming Wang, Yang Wu, Jianbo Shi
ICCV
2007
IEEE
15 years 11 months ago
Object Localisation Using Generative Probability Model for Spatial Constellation and Local Image Features
In this paper we apply state-of-the-art approach to object detection and localisation by incorporating local descriptors and their spatial configuration into a generative probabil...
Joni-Kristian Kamarainen, Miroslav Hamouz, Josef K...
CVPR
2004
IEEE
15 years 1 months ago
Scale-Invariant Shape Features for Recognition of Object Categories
We introduce a new class of distinguished regions based on detecting the most salient convex local arrangements of contours in the image. The regions are used in a similar way to ...
Frédéric Jurie, Cordelia Schmid
PCM
2001
Springer
139views Multimedia» more  PCM 2001»
15 years 2 months ago
Fast and Robust Sprite Generation for MPEG-4 Video Coding
This paper presents a fast and robust sprite generation algorithm for MPEG-4 video coding. Our contributions consist of two aspects. Firstly, a fast and robust Global Motion Estima...
Yan Lu, Wen Gao, Feng Wu
CVPR
2006
IEEE
15 years 11 months ago
Local Features, All Grown Up
We present a technique to adapt the domain of local features through the matching process to augment their discriminative power. We start with local affine features selected and n...
Andrea Vedaldi, Stefano Soatto