On Projection Matrices P k → P 2 , k = 3 , . . . , 6 , and their Applications in Computer Vision ∗

نویسنده

  • AMNON SHASHUA
چکیده

Projection matrices from projective spaces P3 to P2 have long been used in multiple-view geometry to model the perspective projection created by the pin-hole camera. In this work we introduce higher-dimensional mappings Pk →P2, k = 3, 4, 5, 6 for the representation of various applications in which the world we view is no longer rigid. We also describe the multi-view constraints from these new projection matrices (where k > 3) and methods for extracting the (non-rigid) structure and motion for each application.

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تاریخ انتشار 2002