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» Local shape features for object recognition
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CVPR
2006
IEEE
15 years 3 months ago
Spatial Weighting for Bag-of-Features
This paper presents an extension to category classification with bag-of-features, which represents an image as an orderless distribution of features. We propose a method to explo...
Marcin Marszalek, Cordelia Schmid
ICCV
2009
IEEE
16 years 2 months ago
Shape-based Recognition of 3D Point Clouds in Urban Environments
This paper investigates the design of a system for recognizing objects in 3D point clouds of urban environments. The system is decomposed into four steps: locating, segmenting, ...
Aleksey Golovinskiy, Vladimir G. Kim, Thomas Funkh...
ICIP
2009
IEEE
14 years 7 months ago
Category sensitive codebook construction for object category recognition
Recently, the bag of visual words based image representation is getting popular in object category recognition. Since the codebook of the bag-of-words (BOW) based image representa...
Chunjie Zhang, Jing Liu, Yi Ouyang, Qi Tian, Hanqi...
ECCV
2004
Springer
15 years 11 months ago
Simultaneous Object Recognition and Segmentation by Image Exploration
Methods based on local, viewpoint invariant features have proven capable of recognizing objects in spite of viewpoint changes, occlusion and clutter. However, these approaches fail...
Vittorio Ferrari, Tinne Tuytelaars, Luc J. Van Goo...
PAMI
2012
13 years 5 days ago
A Tree-Based Context Model for Object Recognition
—There has been a growing interest in exploiting contextual information in addition to local features to detect and localize multiple object categories in an image. A context mod...
Myung Jin Choi, Antonio Torralba, Alan S. Willsky