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Conference Paper

Geometry-based Automatic Object Localization and 3-D Pose Detection

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http://pubman.mpdl.mpg.de/cone/persons/resource/persons44965

Magnor,  Marcus
Graphics - Optics - Vision, MPI for Informatics, Max Planck Society;

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Citation

Magnor, M. (2002). Geometry-based Automatic Object Localization and 3-D Pose Detection. In Proceedings of the 5th IEEE Southwest Symposium on Image Analysis and Interpretation (pp. 144-147). Los Alamitos, USA: IEEE.


Cite as: http://hdl.handle.net/11858/00-001M-0000-000F-2F9C-9
Abstract
Given the image of a real-world scene and a polygonal \mbox{3-D} model of a depicted object, its apparent size, image coordinates, and \mbox{3-D} orientation are autonomously detected. Based on matching silhouette outline to edges in the image, an extensive search in parameter space converges to the best-matching set of parameter values. Apparent object size may a-priori be unknown, and no initial search parameter values need to be provided. Due to its high degree of parallelism, the algorithm is well suited for implementation on graphics hardware to achieve fast object recognition and \mbox{3-D} pose estimation.