Abstract
A new method for model based recognition of articulated objects in cluttered scenes is presented. This method applies for objects consisting of rigid parts connected by either rotary or prismatic joints. It can also handle multiply jointed objects. Our method is based on an extension of the Generalized Hough transform paradigm. It is applicable to various viewing transformations in 2-D from 2-D and 3-D from 3-D recognition situations. A variant of our approach applies also to the recognition of 3-D objects from 2-D images. No significant degradation is expected in performance for recognition of articulated objects compared with the recognition of rigid objects containing similar amount of visual information. The technique is of low polynomial complexity in the number of features representing the objects.
This research was supported by grant No. 89-00481/1 from the US-Israel Binational Science Foundation (BSF), Jerusalem, Israel.
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© 1992 Springer Science+Business Media New York
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Wolfson, H.J. (1992). On the Recognition of Articulated Objects (Generalizing the Generalized Hough Transform). 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_56
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DOI: https://doi.org/10.1007/978-1-4899-0715-8_56
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