Sciweavers

1512 search results - page 69 / 303
» Learning Object Shape: From Drawings to Images
Sort
View
DICTA
2009
14 years 11 months ago
SIFTing the Relevant from the Irrelevant: Automatically Detecting Objects in Training Images
Many state-of-the-art object recognition systems rely on identifying the location of objects in images, in order to better learn its visual attributes. In this paper, we propose fo...
Edmond Zhang, Michael Mayo
AAI
2010
195views more  AAI 2010»
14 years 6 months ago
Automatic Extraction of Go Game Positions from Images: a Multi-Strategical Approach to Constrained Multi-Object Recognition
Here, we present a constrained object recognition task that has been robustly solved largely with simple machine learning methods, using a small corpus of about 100 images taken u...
Alexander K. Seewald
CVPR
2009
IEEE
16 years 4 months ago
Shape Band: A Deformable Object Detection Approach
In this paper, we focus on the problem of detecting/ matching a query object in a given image. We propose a new algorithm, shape band, which models an object within a bandwidth ...
Xiang Bai (Huazhong University of Science and Tec...
VISAPP
2007
14 years 11 months ago
Extraction of multi-modal object representations in a robot vision system
We introduce one module in a cognitive system that learns the shape of objects by active exploration. More specifically, we propose a feature tracking scheme that makes use of the...
Nicolas Pugeault, Emre Baseski, Dirk Kraft, Floren...
ICPR
2004
IEEE
15 years 11 months ago
Multi-Resolution Template Kernels
Domains in which shapes of objects change rapidly and significantly are a challenge for existing representation techniques: sport is a good example of this. We present a texture-b...
Chris J. Needham, Roger D. Boyle