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Carnegie Mellon Robotics Institute

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Abstract

The generation of recognition programs by hand is a time-consuming, labor-intensive task that typically results in a special purpose program for the recogmtion of a single object or a small set of objects. Recent work in automatic code generation has demonstrated the feasibility of automatically generating object recognition programs from CAD-based descriptions of objects. Many of the programs which perform automatic code generation employ a common paradigm of utilizing explicit object and sensor models to predict object appearances; we refer to the paradigm as appearance-based vision, and refer to the programs as vision algorithm compilers (VACS). In this paper, we discuss the paradigm of appearance-based vision and present in detail two specific VACs: one that computes feature values analytically, and a second that utilizes an appearance simulator to synthesize sample images.

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Text Reference

K. D. Gremban and Katsushi Ikeuchi, "Appearance-Based Vision and the Automatic Generation of Object Recognition Programs," Three-Dimensional Object Recognition Systems, A.K. Jain and P.J. Flynn, ed., Elsevier Science Publishers, B.V., 1993

BibTeX Reference

@incollection{Ikeuchi_1993_1328,
   author = "K. D. Gremban and Katsushi Ikeuchi",
   editor = "A.K. Jain and P.J. Flynn",
   title = "Appearance-Based Vision and the Automatic Generation of Object Recognition Programs",
   booktitle = "Three-Dimensional Object Recognition Systems",
   publisher = "Elsevier Science Publishers, B.V.",
   year = "1993",
}

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