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» A novel local feature descriptor for image matching
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ICCV
2007
IEEE
15 years 12 months ago
Proximity Distribution Kernels for Geometric Context in Category Recognition
We propose using the proximity distribution of vectorquantized local feature descriptors for object and category recognition. To this end, we introduce a novel "proximity dis...
Haibin Ling, Stefano Soatto
CVPR
2012
IEEE
13 years 12 days ago
SURFing the point clouds: Selective 3D spatial pyramids for category-level object recognition
This paper proposes a novel approach to recognize object categories in point clouds. By quantizing 3D SURF local descriptors, computed on partial 3D shapes extracted from the poin...
Carolina Redondo-Cabrera, Roberto Javier Ló...
PAMI
2011
14 years 5 months ago
Matching Forensic Sketches to Mug Shot Photos
—The problem of matching a forensic sketch to a gallery of mug shot images is addressed in this paper. Previous research in sketch matching only offered solutions to matching hig...
Brendan Klare, Zhifeng Li, Anil K. Jain
MICCAI
2002
Springer
15 years 11 months ago
Nonrigid Registration Using Regularized Matching Weighted by Local Structure
Abstract. We present a novel approach to nonrigid registration of volumetric multimodal medical data. We propose a new regularized template matching scheme, where arbitrary similar...
Eduardo Suárez, Carl-Fredrik Westin, Eduard...
ICCV
2007
IEEE
15 years 12 months ago
Object Localisation Using Generative Probability Model for Spatial Constellation and Local Image Features
In this paper we apply state-of-the-art approach to object detection and localisation by incorporating local descriptors and their spatial configuration into a generative probabil...
Joni-Kristian Kamarainen, Miroslav Hamouz, Josef K...