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WAPCV
2004
Springer
14 years 23 days ago
Learning of Position-Invariant Object Representation Across Attention Shifts
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Muhua Li, James J. Clark
PAMI
2007
184views more  PAMI 2007»
13 years 7 months ago
Appearance Characterization of Linear Lambertian Objects, Generalized Photometric Stereo, and Illumination-Invariant Face Recogn
Traditional photometric stereo algorithms employ a Lambertian reflectance model with a varying albedo field and involve the appearance of only one object. In this paper, we gene...
Shaohua Kevin Zhou, Gaurav Aggarwal, Rama Chellapp...
ISMAR
2008
IEEE
14 years 1 months ago
Fast annotation and modeling with a single-point laser range finder
This paper presents methodology for integrating a small, singlepoint laser range finder into a wearable augmented reality system. We first present a way of creating object-align...
Jason Wither, Christopher Coffin, Jonathan Ventura...
CVPR
2008
IEEE
14 years 1 months ago
View and scale invariant action recognition using multiview shape-flow models
Actions in real world applications typically take place in cluttered environments with large variations in the orientation and scale of the actor. We present an approach to simult...
Pradeep Natarajan, Ram Nevatia
ICDM
2003
IEEE
101views Data Mining» more  ICDM 2003»
14 years 21 days ago
Interactive Visualization and Navigation in Large Data Collections using the Hyperbolic Space
We propose the combination of two recently introduced methods for the interactive visual data mining of large collections of data. Both, Hyperbolic Multi-Dimensional Scaling (HMDS...
Jörg A. Walter, Jörg Ontrup, Daniel Wess...