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Chapter and Conference Paper
Visual Phrase Learning and Its Application in Computed Tomographic Colonography
In this work, we propose a visual phrase learning scheme to learn an optimal visual composite of anatomical components/parts from CT colonography images for computer-aided detection. The key idea is to utilize...
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Chapter and Conference Paper
Sequential Monte Carlo Tracking for Marginal Artery Segmentation on CT Angiography by Multiple Cue Fusion
In this work we formulate vessel segmentation on contrast-enhanced CT angiogram images as a Bayesian tracking problem. To obtain posterior probability estimation of vessel location, we employ sequential Monte ...
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Chapter and Conference Paper
Teniae Coli Extraction in Human Colon for Computed Tomographic Colonography Images
Teniae coli are three bands of longitudinal smooth muscle on the surface of the colon, serving as anatomically meaningful landmarks for guiding virtual colonoscopic navigation and registration. This paper pres...
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Chapter and Conference Paper
Efficient Iris Spoof Detection via Boosted Local Binary Patterns
Recently, spoof detection has become an important and challenging topic in iris recognition. Based on the textural differences between the counterfeit iris images and the live iris images, we propose an effici...
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Chapter and Conference Paper
Nonlinear Iris Deformation Correction Based on Gaussian Model
Current iris recognition systems can achieve high level of success under restricted conditions, while they still face challenges of utilizing images with heavy deformation caused by illumination variations. De...
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Chapter and Conference Paper
An Iris Detection Method Based on Structure Information
In this paper, we propose an iris detection method to determine iris existence. The method extracts 4 types of features, i.e., contrast feature, symmetric feature, isotropy feature and disconnectedness feature...
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Chapter and Conference Paper
Robust and Fast Assessment of Iris Image Quality
Iris recognition is one of the most reliable methods for personal identification. However, not all the iris images obtained from the device are of high quality and suitable for recognition. In this paper, a no...
