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» Object detection using spatial histogram features
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137
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ICPR
2008
IEEE
15 years 9 months ago
A new hierarchical approach in robust real-time image feature detection and matching
Object recognition forms a ubiquitous problem in digital image processing. The detection of robust image features of high distinctiveness is one important key in this regard. We p...
Matthias Langer, Klaus-Dieter Kuhnert
PCM
2001
Springer
104views Multimedia» more  PCM 2001»
15 years 7 months ago
Retrieving Landscape Images Using Scene Structural Matrix
In this paper, we present Scene Structural Matrix (SSM) and apply it to the retrieval of landscape images. The SSM captures the overall structural characteristics of the scene by i...
Guoping Qiu, S. Sudirman
177
Voted
CVPR
2009
IEEE
2216views Computer Vision» more  CVPR 2009»
16 years 10 months ago
Object Detection using a Max-Margin Hough Transform
We present a discriminative Hough transform based ob- ject detector where each local part casts a weighted vote for the possible locations of the object center. We show that the ...
Subhransu Maji (University of California, Berkeley...
CVPR
2006
IEEE
16 years 4 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
168
Voted
AIPR
2005
IEEE
15 years 8 months ago
Face Recognition Using Multispectral Random Field Texture Models, Color Content, and Biometric Features
Most of the available research on face recognition has been performed using gray scale imagery. This paper presents a novel two-pass face recognition system that uses a Multispect...
Orlando J. Hernandez, Mitchell S. Kleiman