Three-dimensional parameter estimation from stereo image sequences for model-based image coding

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摘要

It is shown that the analysis of moving image sequences for 3D modelling can be performed in a relatively straightforward manner if the scene is captured in stereo. Output from a stereo disparity estimation process using calibrated cameras gives absolute 3D surface coordinates from a single stereo pair. When combined with monocular motion cues, the true 3D motion parameters of moving objects can be accurately calculated. Further analysis enables segmentation of body elements according to motion while the 3D surface feature structure, although available from the start, can be integrated and checked for anomalies over the sequence. These results are expected to alleviate the known problems of ambiguity suffered by monocular-source model-based coders.

论文关键词:Model-based coding,3D scene analysis,Stereo vision,3D model construction,3D motion estimation

论文评审过程:Available online 7 April 2000.

论文官网地址:https://doi.org/10.1016/0923-5965(95)00019-1