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» Application of Level Set Methods in Computer Vision
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ICCV
2005
IEEE
16 years 4 months ago
Ensuring Color Consistency across Multiple Cameras
Most multi-camera vision applications assume a single common color response for all cameras. However different cameras--even of the same type--can exhibit radically different colo...
Adrian Ilie, Greg Welch
114
Voted
SCALESPACE
2001
Springer
15 years 6 months ago
Selection of Optimal Stopping Time for Nonlinear Diffusion Filtering
We develop a novel time-selection strategy for iterative image restoration techniques: the stopping time is chosen so that the correlation of signal and noise in the filtered imag...
Pavel Mrázek
ICPR
2006
IEEE
16 years 3 months ago
Enhancing Training Set for Face Detection
We present a novel method to enhance training set for face detection with nonlinearly generated examples from the original data. The motivation is from Support Vector Machines (SV...
Ruiping Wang, Jie Chen, Shiguang Shan, Wen Gao
ICPR
2002
IEEE
16 years 3 months ago
A Two Level Classifier Process for Audio Segmentation
We are dealing in this paper with audio segmentation. We propose a two level segmentation process that enables the audio tracks to be sampled in short sequences which are classifi...
Benjamin Maillard, Nicole Vincent, Sébastie...
BMVC
2001
15 years 4 months ago
Robust Registration of 2D and 3D Point Sets
This paper introduces a new method of registering point sets. The registration error is directly minimized using general-purpose non-linear optimization (the Levenberg–Marquardt...
Andrew W. Fitzgibbon