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CVPR
2004
IEEE
11 years 4 months ago
PCA-SIFT: A More Distinctive Representation for Local Image Descriptors
Stable local feature detection and representation is a fundamental component of many image registration and object recognition algorithms. Mikolajczyk and Schmid [14] recently eva...
Yan Ke, Rahul Sukthankar
MM
2010
ACM
462views Multimedia» more  MM 2010»
10 years 2 months ago
KPB-SIFT: a compact local feature descriptor
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and object recognition. However, such descriptors are typically of ...
Gangqiang Zhao, Ling Chen, Gencai Chen, Junsong Yu...
CIVR
2007
Springer
166views Image Analysis» more  CIVR 2007»
10 years 8 months ago
Multi-level local descriptor quantization for bag-of-visterms image representation
In the past, quantized local descriptors have been shown to be a good base for the representation of images, that can be applied to a wide range of tasks. However, current approac...
Pedro Quelhas, Jean-Marc Odobez
ECCV
2010
Springer
10 years 2 months ago
Image Classification Using Super-Vector Coding of Local Image Descriptors
Abstract. This paper introduces a new framework for image classification using local visual descriptors. The pipeline first performs a nonlinear feature transformation on descripto...
Xi Zhou, Kai Yu, Tong Zhang, Thomas S. Huang
ICMCS
2007
IEEE
223views Multimedia» more  ICMCS 2007»
10 years 9 months ago
An Effective Local Invariant Descriptor Combining Luminance and Color Information
Extraction of stable local invariant features is very important in many computer vision applications, such as image matching, object recognition and image retrieval. Most existing...
Dong Zhang, Weiqiang Wang, Wen Gao, Shuqiang Jiang
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