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» Object detection using spatial histogram features
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Publication
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13 years 8 months ago
Beyond Straight Lines - Object Detection using Curvature
We present an approach that directly uses curvature cues in a discriminative way to perform object recognition. We show that integrating curvature information substantially impr...
Antonio Monroy, Angela Eigenstetter and Björn Omm...
124
Voted
ECCV
2006
Springer
16 years 4 months ago
Region Covariance: A Fast Descriptor for Detection and Classification
We describe a new region descriptor and apply it to two problems, object detection and texture classification. The covariance of d-features, e.g., the three-dimensional color vecto...
Oncel Tuzel, Fatih Porikli, Peter Meer
CVPR
2005
IEEE
16 years 4 months ago
Object Class Recognition Using Multiple Layer Boosting with Heterogeneous Features
We combine local texture features (PCA-SIFT), global features (shape context), and spatial features within a single multi-layer AdaBoost model of object class recognition. The fir...
Wei Zhang 0002, Bing Yu, Gregory J. Zelinsky, Dimi...
95
Voted
CVPR
2005
IEEE
16 years 4 months ago
Discriminative Training for Object Recognition Using Image Patches
We present a method for automatically learning discriminative image patches for the recognition of given object classes. The approach applies discriminative training of log-linear...
Thomas Deselaers, Daniel Keysers, Hermann Ney