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ICCV
2011
IEEE
12 years 6 months ago
Robust Topological Features for Deformation Invariant Image Matching
Local photometric descriptors are a crucial low level component of numerous computer vision algorithms. In practice, these descriptors are constructed to be invariant to a class o...
Edgar Lobaton, Ramanarayan Vasudevan, Ron Alterovi...
VISUAL
1999
Springer
13 years 10 months ago
Highly Discriminative Invariant FEatures for Image Matching
Abstract. In this paper, we present novel image-derived, invariant features that accurately capture both the geometric and color properties of an imaged object. These features can ...
Ronald-Bryan O. Alferez, Yuan-Fang Wang
ICIP
2005
IEEE
14 years 3 hour ago
Image matching based on a local invariant descriptor
— Image matching is a fundamental task of many computer vision problems. In this paper we present a novel approach to match two images in presenting significant geometric deform...
Lei Qin, Wen Gao
ICCV
2009
IEEE
1821views Computer Vision» more  ICCV 2009»
14 years 11 months ago
Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering
We present an efficient method for feature correspondence and object-based image matching, which exploits both photometric similarity and pairwise geometric consistency from local ...
Minsu Cho (Seoul National University), Jungmin Lee...
ICCV
1999
IEEE
14 years 8 months ago
Object Recognition from Local Scale-Invariant Features
Proc. of the International Conference on Computer Vision, Corfu (Sept. 1999) An object recognition system has been developed that uses a new class of local image features. The fea...
David G. Lowe