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» Novel image feature alphabets for object recognition
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CRV
2005
IEEE
124views Robotics» more  CRV 2005»
14 years 12 months ago
View Matching with Blob Features
This paper introduces a new region based feature for object recognition and image matching. In contrast to many other region based features, this one makes use of colour in the fe...
Per-Erik Forssén, Anders Moe
CVPR
2009
IEEE
1084views Computer Vision» more  CVPR 2009»
16 years 5 months ago
Describing Objects by their Attributes
We propose to shift the goal of recognition from naming to describing. Doing so allows us not only to name familiar objects, but also: to report unusual aspects of a familiar ob...
Ali Farhadi, David A. Forsyth, Derek Hoiem, Ian En...
ICPR
2008
IEEE
15 years 4 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock
MM
2010
ACM
462views Multimedia» more  MM 2010»
14 years 10 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...
IJON
2008
121views more  IJON 2008»
14 years 10 months ago
Locality sensitive semi-supervised feature selection
In many computer vision tasks like face recognition and image retrieval, one is often confronted with high-dimensional data. Procedures that are analytically or computationally ma...
Jidong Zhao, Ke Lu, Xiaofei He