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» On Projection Matrices and their Applications in Computer Vi...
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ICPR
2008
IEEE
14 years 8 months ago
K-means clustering of proportional data using L1 distance
We present a new L1-distance-based k-means clustering algorithm to address the challenge of clustering high-dimensional proportional vectors. The new algorithm explicitly incorpor...
Bonnie K. Ray, Hisashi Kashima, Jianying Hu, Monin...
ICPR
2000
IEEE
14 years 8 months ago
First Steps toward Automatic Location of Landmarks on X-Ray Images
We address the problem of locating some anatomical bone structures on lateral cranial X-Ray Images. These structures are landmarks used in orthodontic therapy. The main problem in...
Barbara Romaniuk, Marie-Josèphe Deshayes, M...
ACCV
1998
Springer
13 years 11 months ago
Digital Geometric Methods in Image Analysis and Compression
One of the important problems related to image analysis and compression is finding repeated structure. Although the focus of this paper is developing digital geometric models and m...
Ari D. Gross, Longin Jan Latecki
ECCV
2010
Springer
13 years 11 months ago
Contour Grouping and Abstraction using Simple Part Models
Grouping and Abstraction Using Simple Part Models Pablo Sala and Sven Dickinson Department of Computer Science, University of Toronto, Toronto ON, Canada We address the problem of ...
IJIG
2008
222views more  IJIG 2008»
13 years 7 months ago
An Analytical Solution to the Perspective-n-Point Problem for Common Planar Camera and for Catadioptric Sensor
The Perspective-N-Point problem (PNP) is a notable problem in computer vision. It consists in, given N points known in an object coordinate space and their projection onto the ima...
Jonathan Fabrizio, Jean Devars