In this work we have embodied a full 6DOF SLAM solution into a wearable stereo device working in near real-time. In order to serve on-line metric (map) and positional (localization) to the blind or visually impaired w...
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We present two components of a vision-based approach to autonomous driving on and near rural and desert roads. The first component comprises fast processing of live vehicle camera video to robustly extract linear dire...
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We present a new algorithm for 3D face recognition, and compare its performance to that of previous approaches. We focus especially on the case of facial expression change between gallery and probe images. We first es...
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Nearest neighbor search is commonly employed in face recognition but it does not scale well to large dataset sizes. A strategy to combine rejection classifiers into a cascade for face identification is proposed in thi...
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In this paper we propose a new method called redundant class-dependence feature analysis (CFA) based on the advanced correlation filters to perform robust face recognition on the Face recognition Grand Challenge (FRGC...
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Development of a visibility improvement system for helping drivers with poor vision during night and bad weather conditions is proposed in this paper. Video streams captured by a CCD camera and an infrared camera are ...
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This paper addresses 3D face recognition from facial shape. Firstly, we present an effective method to automatically extract ROI of facial surface, which mainly depends on automatic detection of facial bilateral symme...
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This research features a novel approach that efficiently detects depth edges in real world scenes. Depth edges play a very important role in many computervision problems because they represent object contours. We str...
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We present a new contour-based background-subtraction technique using thermal and visible imagery for persistent object detection in urban settings. Statistical background-subtraction in the thermal domain is used to ...
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We present results of the largest experimental investigation of ear biometrics to date. Approaches considered include a PCA ("eigen-ear") approach with 2D intensity images, achieving 63.8% rank-one recogniti...
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