Accession Number : ADA259737


Title :   3D Pose from 3 Corresponding Points Under Weak-Perspective Projection


Descriptive Note : Memorandum rept.,


Corporate Author : MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB


Personal Author(s) : Alter, T D


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a259737.pdf


Report Date : Jul 1992


Pagination or Media Count : 43


Abstract : Model-based object recognition commonly involves using a minimal set of matched model and image points to compute the pose of the model in image coordinates. Furthermore, recognition systems often rely on the 'weak- perspective' imaging model in place of the perspective imaging model. This paper discusses computing the pose of a model from three corresponding points under weak-perspective projection. A new solution to the problem is proposed which, like previous solutions, involves solving a biquadratic equation. Here the biquadratic is motivated geometrically and its solutions, comprised of an actual and a false solution, are interpreted graphically. The final equations take a new form, which lead to a simple expression for the image position of any unmatched model point.... Computer vision, Weak perspective, Recognition, Pose estimation, Alignment.


Descriptors :   *PATTERN RECOGNITION , *ARTIFICIAL INTELLIGENCE , MODELS , COMPUTERS , ALIGNMENT , VISION , PAPER , EQUATIONS , COMPUTER VISION , COORDINATES , IMAGES , RECOGNITION


Subject Categories : Psychology
      Anatomy and Physiology


Distribution Statement : APPROVED FOR PUBLIC RELEASE