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» Building text features for object image classification
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GI
2009
Springer
14 years 7 months ago
A Modular Framework to Detect and Analyze Faces for Audience Measurement Systems
: In this paper we describe an approach that enables the detection, tracking and fine analysis (classification of gender and facial expression) of faces using a single web camera. ...
Christian Küblbeck, Tobias Ruf, Andreas Ernst
CHI
2007
ACM
15 years 10 months ago
A minimal model for predicting visual search in human-computer interaction
Visual search is an important part of human-computer interaction. It is critical that we build theory about how people visually search displays in order to better support the user...
Tim Halverson, Anthony J. Hornof
CORR
2010
Springer
207views Education» more  CORR 2010»
14 years 7 months ago
TILT: Transform Invariant Low-rank Textures
Abstract. In this paper, we show how to efficiently and effectively extract a rich class of low-rank textures in a 3D scene from 2D images despite significant distortion and warpin...
Zhengdong Zhang, Arvind Ganesh, Xiao Liang, Yi Ma
PAMI
2007
101views more  PAMI 2007»
14 years 9 months ago
A Thousand Words in a Scene
— This paper presents a novel approach for visual scene modeling and classification, investigating the combined use of text modeling methods and local invariant features. Our wo...
Pedro Quelhas, Florent Monay, Jean-Marc Odobez, Da...
CVPR
2008
IEEE
15 years 11 months ago
Scale invariance without scale selection
In this work we construct scale invariant descriptors (SIDs) without requiring the estimation of image scale; we thereby avoid scale selection which is often unreliable. Our start...
Iasonas Kokkinos, Alan L. Yuille