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ECCV
2000
Springer
16 years 1 months ago
Learning to Recognize 3D Objects with SNoW
This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
TCSV
2008
202views more  TCSV 2008»
14 years 11 months ago
Probabilistic Object Tracking With Dynamic Attributed Relational Feature Graph
Object tracking is one of the fundamental problems in computer vision and has received considerable attention in the past two decades. The success of a tracking algorithm relies on...
Feng Tang, Hai Tao
CVPR
2005
IEEE
16 years 1 months ago
Efficient Image Matching with Distributions of Local Invariant Features
Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature set...
Kristen Grauman, Trevor Darrell
ICIAR
2005
Springer
15 years 5 months ago
A Generic Shape Matching with Anchoring of Knowledge Primitives of Object Ontology
We have developed a generic ontology of objects, and a knowledge base of everyday physical objects. Objects are represented as assemblies of functional features and their spatial r...
Dongil Han, Bum-Jae You, Yong Se Kim, Il Hong Suh
ICB
2007
Springer
144views Biometrics» more  ICB 2007»
15 years 3 months ago
Face Recognition with Local Gabor Textons
This paper proposes a novel face representation and recognition method based on local Gabor textons. Textons, defined as a vocabulary of local characteristic features, are a good d...
Zhen Lei, Stan Z. Li, Rufeng Chu, XiangXin Zhu