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» Shape Similarity and Visual Parts
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ISBI
2007
IEEE
14 years 4 months ago
Shape Analysis Using Curvature-Based Descriptors and Profile Hidden Markov Models
This paper presents a new framework for shape modeling and analysis. A shape instance is described by a curvature-based shape descriptor. A Profile Hidden Markov Model (PHMM) is ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
CVPR
2006
IEEE
15 years 12 days ago
Incremental learning of object detectors using a visual shape alphabet
We address the problem of multiclass object detection. Our aims are to enable models for new categories to benefit from the detectors built previously for other categories, and fo...
Andreas Opelt, Axel Pinz, Andrew Zisserman
JOCN
2010
109views more  JOCN 2010»
13 years 8 months ago
Learning Shapes the Representation of Visual Categories in the Aging Human Brain
■ The ability to make categorical decisions and interpret sensory experiences is critical for survival and interactions across the lifespan. However, little is known about the h...
Stephen D. Mayhew, Sheng Li, Joshua K. Storrar, Ka...
BC
2006
102views more  BC 2006»
13 years 10 months ago
The Optimal Human Ventral Stream from Estimates of the Complexity of Visual Objects
The part of the primate visual cortex responsible for the recognition of objects is parcelled into about a dozen areas organized somewhat hierarchically (the region is called the v...
Mark A. Changizi
PR
2008
173views more  PR 2008»
13 years 10 months ago
Object recognition using a generalized robust invariant feature and Gestalt's law of proximity and similarity
In this paper, we propose a new context-based method for object recognition. We first introduce a neuro-physiologically motivated visual part detector. We found that the optimal f...
Sungho Kim, Kuk-Jin Yoon, In-So Kweon