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» Image matching based on a local invariant descriptor
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PAMI
2012
11 years 10 months ago
LDAHash: Improved Matching with Smaller Descriptors
—SIFT-like local feature descriptors are ubiquitously employed in such computer vision applications as content-based retrieval, video analysis, copy detection, object recognition...
Christoph Strecha, Alexander A. Bronstein, Michael...
CVPR
2008
IEEE
14 years 9 months ago
A fast local descriptor for dense matching
We introduce a novel local image descriptor designed for dense wide-baseline matching purposes. We feed our descriptors to a graph-cuts based dense depth map estimation algorithm ...
Engin Tola, Vincent Lepetit, Pascal Fua
ICCV
2011
IEEE
12 years 7 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...
IROS
2009
IEEE
196views Robotics» more  IROS 2009»
14 years 2 months ago
Scene recognition with omnidirectional vision for topological map using lightweight adaptive descriptors
Abstract— Mobile robots rely on their ability of scene recognition to build a topological map of the environment and perform location-related tasks. In this paper, we describe a ...
Ming Liu, Davide Scaramuzza, Cédric Pradali...
SIBGRAPI
2005
IEEE
14 years 1 months ago
TSD: A Shape Descriptor Based on a Distribution of Tensor Scale Local Orientation
We present tensor scale descriptor (TSD)— a shape descriptor for content-based image retrieval, registration, and analysis. TSD exploits the notion of local structure thickness,...
Paulo A. V. Miranda, Ricardo da Silva Torres, Alex...