منابع مشابه
3-D Motion Estimation
II. 3-D Motion Estimation The approach for 3-D motion estimation in this project has two stages: 3-D shape reconstruction and model-based 3-D motion estimation. The object shape in a video sequence is usually unknown. A structure from motion algorithm is first applied to reconstruct an approximate 3D shape from several views of the video sequence. With the approximate object shape, a model-base...
متن کاملDetecting 3-D motion field from range image sequences
An algorithm for computing three-dimensional (3-D) velocity field and motion parameters from a range image sequence is presented. It is based on a new integral 3-D rigid motion invariant feature-the trace of a 3x3 "feature matrix" related to the moment of inertia tensor. This trace can be computed at every point of a moving surface and provides a quantitative measure of the local shape of the s...
متن کاملRigid 3-D motion estimation using neural networks and initially estimated 2-D motion data
The present paper extends a known e cient technique for rigid 3D motion estimation so as to make it applicable to motion estimation problems occuring in image sequence coding applications. The known technique estimates 3D motion using previously evaluated 3D correspondence. However, in image sequence coding applications 3D correspondence is unknown and only 2D motion vectors are usually initial...
متن کاملAttention to 3-D shape, 3-D motion, and texture in 3-D structure from motion displays.
We used fMRI to directly compare the neural substrates of three-dimensional (3-D) shape and motion processing for realistic textured objects rotating in depth. Subjects made judgments about several different attributes of these objects, including 3-D shape, the 3-D motion, and the scale of surface texture. For all of these tasks, we equated visual input, motor output, and task difficulty, and w...
متن کاملRobust 3-d Motion Estimation and Depth Layering
Two problems are addressed in this paper: camera 3-D motion estimation and image depth layering. For the first problem, the method we adopt is the use of an hierarchy of motion models in combination with robust estimation methods. A dense motion vector field is assumed to be granted. For the second, an iterative deterministic relaxation algorithm is used and the extraction of the image depth la...
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ژورنال
عنوان ژورنال: Artificial Intelligence
سال: 1995
ISSN: 0004-3702
DOI: 10.1016/0004-3702(95)00031-3