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» Novel image feature alphabets for object recognition
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IBPRIA
2009
Springer
15 years 11 months ago
Class Representative Visual Words for Category-Level Object Recognition
Recent works in object recognition often use visual words, i.e. vector quantized local descriptors extracted from the images. In this paper we present a novel method to build such ...
Roberto Javier López-Sastre, Tinne Tuytelaa...
VISUALIZATION
2005
IEEE
15 years 12 months ago
Build-by-Number: Rearranging the Real World to Visualize Novel Architectural Spaces
We present Build-by-Number, a technique for quickly designing architectural structures that can be rendered photorealistically at interactive rates. We combine image-based capturi...
Daniel R. Bekins, Daniel G. Aliaga
ECCV
1994
Springer
16 years 8 months ago
Face Recognition: the Problem of Compensating for Changes in Illumination Direction
A face recognition system must recognize a face from a novel image despite the variations between images of the same face. A common approach to overcoming image variations because...
Yael Moses, Yael Adini, Shimon Ullman
IJCAI
1989
15 years 7 months ago
A Homogeneous Framework for Visual Recognition
A homogeneous paradigm for evidence integration is presented, and a vision system to recognize 3D objects is demonstrated using this paradigm. A new concept called generalizedfeat...
Rick Kjeldsen, Ruud M. Bolle, Andrea Califano, Rus...
ICCV
2011
IEEE
14 years 8 months ago
Segmentation as Selective Search for Object Recognition
Software available at http://disi.unitn.it/~uijlings or http://koen.me/research/ For object recognition, the current state-of-the-art is based on exhaustive search. However, to ...
K van de Sande, J Uijlings, T Gevers, A Smeulders