The assessment of lung cancer involves off-line three-dimensional (3D) computed-tomography (CT) image assessment followed by live bronchoscopy. While standard bronchoscopy provides live video of information inside the...
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We show that differentiation via fitting B-splines to the spatio-temporal intensity data comprising an image sequence provides at least the same and usually better 2D Lucas and Kanade optical flow than that computed v...
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Face processing in video is receiving substantial attention due to its importance in many security-related applications. A video provides rich information about a face (multiple frames and temporal coherence) that can...
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This paper describes a new variational method for estimating disparity from stereo images. The stereo matching problem is formulated as a convex programming problem in which an objective function is minimized under va...
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This paper presents and demonstrates an automated generic approach to improving the accuracy and stability of iterative pose estimation in computervision applications. The class of problem involves the use of calibra...
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In this paper, we propose a new method for "pattern" extraction and tracking from endoscopic images. During colonoscopic intervention, the endoscope advance slowly. Therefore the displacement of the endoscop...
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Most segmentation algorithms are based on the assumption of intensity homogeneity within an object. However, in many applications, the object of interest contains more than one homogenous region. Even when the object&...
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This paper presents a new histogram-based method for dynamic background modeling using a sequence of images extracted from video. In particular, a k-means clustering technique has been used to identify the foreground ...
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This paper addresses the problem of simultaneous localization and mapping (SLAM) using vision-based sensing. We present and analyse an implementation of a Rao-Blackwellised particle filter (RBPF) that uses stereo visi...
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