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» Some identification techniques in computer vision
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ICCV
2001
IEEE
14 years 9 months ago
Shape Deformation: SVM Regression and Application to Medical Image Segmentation
This paper presents a novel landmark-based shape deformation method. This method effectively solves two problems inherent in landmark-based shape deformation: (a) identification o...
Song Wang, Weiyu Zhu, Zhi-Pei Liang
BMVC
2000
13 years 9 months ago
Parallel Chains, Delayed Rejection and Reversible Jump MCMC for Object Recognition
We tackle the problem of object recognition using a Bayesian approach. A marked point process [1] is used as a prior model for the (unknown number of) objects. A sample is generat...
M. Harkness, P. Green
BMVC
2002
13 years 10 months ago
Comparing Variations on the Active Appearance Model Algorithm
The Active Appearance Model (AAM) algorithm has proved to be a successful method for matching statistical models of appearance to new images. Since the original algorithm was desc...
Timothy F. Cootes, Panachit Kittipanya-ngam
COLING
2010
13 years 2 months ago
Detecting Speech Repairs Incrementally Using a Noisy Channel Approach
Unrehearsed spoken language often contains disfluencies. In order to correctly interpret a spoken utterance, any such disfluencies must be identified and removed or otherwise deal...
Simon Zwarts, Mark Johnson, Robert Dale
ICCV
1999
IEEE
14 years 9 months ago
Neurocalibration: A Neural Network That Can Tell Camera Calibration Parameters
Camera calibration is a primary crucial step in many computer vision tasks. In this paper we present a new neural approach for camera calibration. Unlike some existing neural appr...
Moumen T. Ahmed, Elsayed E. Hemayed, Aly A. Farag