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Desktop video conferencing often suffers from bad lighting, which may be caused by harsh shadowing, saturated regions, etc. The primary reason for this is the lack of control over lighting in the user's environment. A hardware-based solution to this problem would be to place lights near the video camera, but these would be distracting to the user. We use a set of infrared lights placed around the...
Segmenting images into distinct material types is a very useful capability. Most work in image segmentation addresses the case where only a single image is available. Some methods improve on this by collecting HDR or multispectral images. However, it is also possible to use the reflectance properties of the materials to obtain better results. By acquiring many images of an object under different lighting...
In this paper, we present a keyframe-based human motion capture data retrieval system which uses a wooden doll as the input device. A user inputs a keyframe by posing an artistpsilas doll with painted joints in front of a stereo camera rig. The system interactively gives real-time feedback on the results of the joint detection and 3D pose reconstruction as the user is positioning and rotating the...
Time-of-flight (TOF) cameras robustly provide depth data of real world scenes at video frame rates. Unfortunately, currently available camera models provide rather low X-Y resolution. Also, their depth measurements are starkly influenced by random and systematic errors which renders them inappropriate for high-quality 3D scanning. In this paper we show that ideas from traditional color image superresolution...
This paper describes a real-time method for foreground/background segmentation of a color video sequence based primarily on range data of a time-of-flight sensor. This method uses depth information of a TOF-sensor paired with a high resolution color video camera to efficiently segment foreground from background in a two-step process. First a trimap is produced using only range data: areas are located...
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