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» A Robust Iris Localization Method Using an Active Contour Mo...
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ICPR
2010
IEEE
13 years 9 months ago
A Robust Iris Localization Method Using an Active Contour Model and Hough Transform
Iris segmentation is one of the crucial steps in building an iris recognition system since it affects the accuracy of the iris matching significantly. This segmentation should acc...
Jaehan Koh, Venu Govindaraju, Vipin Chaudhary
ECCV
2010
Springer
13 years 9 months ago
Hough Transform and 3D SURF for robust three dimensional classification
Most methods for the recognition of shape classes from 3D datasets focus on classifying clean, often manually generated models. However, 3D shapes obtained through acquisition tech...
FGR
2004
IEEE
156views Biometrics» more  FGR 2004»
13 years 8 months ago
Robust Lip Contour Extraction using Separability of Multi-Dimensional Distributions
We present a lip contour extraction method using separability of color intensity distributions. Usually it is difficult to robustly extract the outer lip contour mainly because of...
Tomokazu Wakasugi, Masahide Nishiura, Kazuhiro Fuk...
CVPR
2004
IEEE
14 years 6 months ago
Flexible Spatial Models for Grouping Local Image Features
A key step for the effective use of local image features (i.e., highly distinctive and robust features) for recognition or image matching is the appropriate grouping of feature ma...
Gustavo Carneiro, Allan D. Jepson
ICIP
2010
IEEE
13 years 2 months ago
Fast and robust active contours for image segmentation
Active models are widely used in applications like image segmentation and tracking. Region-based active models are known for robustness to weak edges and high computational comple...
Wei Yu, Franz Franchetti, Yao-Jen Chang, Tsuhan Ch...