Pii: S0262-8856(99)00076-1
نویسندگان
چکیده
This paper presents a model based approach to human body tracking in which the 2D silhouette of a moving human and the corresponding 3D skeletal structure are encapsulated within a non-linear point distribution model. This statistical model allows a direct mapping to be achieved between the external boundary of a human and the anatomical position. It is shown how this information, along with the position of landmark features such as the hands and head can be used to reconstruct information about the pose and structure of the human body from a monocular view of a scene. q 2000 Elsevier Science B.V. All rights reserved.
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Pii: S0262-8856(99)00039-6
We introduce a new class of dithering methods called N-candidate methods. The main idea is that the output color is randomly chosen among several candidate colors so that the estimated color average would be preserved. The dithering process is pixelwise without any interaction with the neighboring pixels. The N-candidate methods are thus location invariant, which has two benefits: (1) the algor...
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This paper provides a review on techniques for computing a three-dimensional model of a scene from a single moving camera, with unconstrained motion and unknown parameters. In the classical approach, called autocalibration or self-calibration, camera motion and parameters are recovered first, using rigidity; then structure is easily computed. Recently, new methods based on the idea of stratific...
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