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» Experiments with patch-based object classification
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ICCV
2005
IEEE
16 years 1 months ago
A Maximum Entropy Framework for Part-Based Texture and Object Recognition
This paper presents a probabilistic part-based approach for texture and object recognition. Textures are represented using a part dictionary found by quantizing the appearance of ...
Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
CVPR
2003
IEEE
16 years 1 months ago
Shape-based Recognition Of Wiry Objects
We present an approach to the recognition of complexshaped objects in cluttered environments based on edge cues. We first use example images of the desired object in typical backg...
Owen T. Carmichael, Martial Hebert
119
Voted
CLOR
2006
15 years 3 months ago
A Discriminative Framework for Texture and Object Recognition Using Local Image Features
This chapter presents an approach for texture and object recognition that uses scale- or affine-invariant local image features in combination with a discriminative classifier. Text...
Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
PAMI
2012
13 years 2 months ago
Learning Optimal Embedded Cascades
—The problem of automatic and optimal design of embedded object detector cascades is considered. Two main challenges are identified: optimization of the cascade configuration and...
Mohammad Javad Saberian, Nuno Vasconcelos
CVPR
2005
IEEE
16 years 1 months ago
Isophote Properties as Features for Object Detection
Usually, object detection is performed directly on (normalized) gray values or gray primitives like gradients or Haar-like features. In that case the learning of relationships bet...
Jeroen Lichtenauer, Emile A. Hendriks, Marcel J. T...