Abstract
Recovering the shapes and motions of 3D objects from visual data is a primary goal of low and intermediate level vision. Despite the large body of work on 3D shape modeling and motion extraction, most existing techniques deal with simple shape primitives and rigid motion. Many natural objects, however, have shapes which cannot be described accurately in terms of simple shape primitives and their motions are often nonrigid. To deal with such complex motions, we need 3D models with broad geometric coverage and associated techniques for inferring 3D shape and nonrigid motion from noise-corrupted data.
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© 1992 Springer Science+Business Media New York
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Metaxas, D., Terzopoulos, D. (1992). Shape Representation and Recovery Using Deformable Superquadrics. In: Arcelli, C., Cordella, L.P., di Baja, G.S. (eds) Visual Form. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-0715-8_38
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DOI: https://doi.org/10.1007/978-1-4899-0715-8_38
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