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» Comparison of invariant descriptors for object recognition
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MM
2010
ACM
462views Multimedia» more  MM 2010»
13 years 7 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...
DAGM
2005
Springer
14 years 1 months ago
Spiders as Robust Point Descriptors
This paper introduces a new operator to characterize a point in an image in a distinctive and invariant way. The robust recognition of points is a key technique in computer vision:...
Adam Stanski, Olaf Hellwich
CIVR
2003
Springer
269views Image Analysis» more  CIVR 2003»
14 years 24 days ago
HPAT Indexing for Fast Object/Scene Recognition Based on Local Appearance
Abstract. The paper describes a fast system for appearance based image recognition . It uses local invariant descriptors and efficient nearest neighbor search. First, local affine ...
Hao Shao, Tomás Svoboda, Tinne Tuytelaars, ...
ISMAR
2009
IEEE
14 years 2 months ago
A setup for evaluating detectors and descriptors for visual tracking
In many cases, visual tracking is based on detecting, describing, and then matching local features. A variety of algorithms for these steps have been proposed and used in tracking...
Steffen Gauglitz, Tobias Höllerer, Petra Krah...
CVPR
2010
IEEE
14 years 4 months ago
Scale-Invariant heat kernel signatures for non-rigid shape recognition
One of the biggest challenges in non-rigid shape retrieval and comparison is the design of a shape descriptor that would maintain invariance under a wide class of transformations ...
Michael Bronstein, Iasonas Kokkinos