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» Novel image feature alphabets for object recognition
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BVAI
2007
Springer
15 years 4 months ago
Neural Object Recognition by Hierarchical Learning and Extraction of Essential Shapes
We present a hierarchical system for object recognition that models neural mechanisms of visual processing identified in the mammalian ventral stream. The system is composed of ne...
Daniel Oberhoff, Marina Kolesnik
ICIAP
1997
ACM
15 years 2 months ago
Color Based Object Recognition
The purpose is to arrive at recognition of multicolored objects invariant to a substantial change in viewpoint, object geometry and illumination. Assuming dichromatic reflectance...
Theo Gevers, Arnold W. M. Smeulders
CVPR
2009
IEEE
16 years 5 months ago
Fast concurrent object localization and recognition
Object localization and classification are important problems in computer vision. However, in many applications, exhaustive search over all class labels and image locations is co...
Tom Yeh, John J. Lee, Trevor Darrell
DAGM
2005
Springer
15 years 3 months ago
Rapid Online Learning of Objects in a Biologically Motivated Recognition Architecture
We present an approach for the supervised online learning of object representations based on a biologically motivated architecture of visual processing. We use the output of a rece...
Stephan Kirstein, Heiko Wersing, Edgar Körner
ICCV
2011
IEEE
13 years 10 months ago
Kinecting the dots: Particle Based Scene Flow from depth sensors
The motion field of a scene can be used for object segmentation and to provide features for classification tasks like action recognition. Scene flow is the full 3D motion fiel...
Simon Hadfield, Richard Bowden