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» The Imalab Method for Vision Systems
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DIMEA
2008
154views Multimedia» more  DIMEA 2008»
15 years 7 months ago
Emotionally aware automated portrait painting
We combine a machine vision system that recognises emotions and a non-photorealistic rendering (NPR) system to automatically produce portraits which heighten the emotion of the si...
Simon Colton, Michel François Valstar, Maja...
CVPR
2009
IEEE
15 years 9 months ago
Efficiently training a better visual detector with sparse eigenvectors
Face detection plays an important role in many vision applications. Since Viola and Jones [1] proposed the first real-time AdaBoost based object detection system, much effort has ...
Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhan...
CVPR
2006
IEEE
15 years 9 months ago
Accurate Tracking of Monotonically Advancing Fronts
A wide range of computer vision applications such as distance field computation, shape from shading, and shape representation require an accurate solution of a particular Hamilton...
M. Sabry Hassouna, Aly A. Farag
PRL
2006
95views more  PRL 2006»
15 years 5 months ago
Where physically is the optical center?
A simple and fast method of determining the position of the optical center without any specialized equipment is presented. The position of the optical center is a depth determinin...
Peter Peer, Franc Solina
ECCV
2010
Springer
15 years 11 months ago
Fast Approximate Nearest Neighbor Methods for Non-Euclidean Manifolds with Applications to Human Activity Analysis in Videos
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
Rizwan Chaudhry, Yuri Ivanov