Single image depth edges classification using a red, green, and blue light

Matthias Voigt; Felix Ospald; Visvanathan Ramesh

doi:10.1117/12.735745

10 October 2007 Single image depth edges classification using a red, green, and blue light

Matthias Voigt, Felix Ospald, Visvanathan Ramesh

Proceedings Volume 6762, Two- and Three-Dimensional Methods for Inspection and Metrology V; 676205 (2007) https://doi.org/10.1117/12.735745
Event: Optics East, 2007, Boston, MA, United States

Abstract

Common image edge detectors identify a mixture of image discontinuities caused by a local change of illumination, texture or geometry. This document describes a method to separate depth-edges as a special instance of geometry edges from all other edges in a single image, without a complicated sensor. A single color camera and a red, green and blue light is used for scene illumination. Color shadows produced by the active illumination provide discriminative features to detect depth-edges. Experimental results are used to demonstrate the discriminative power of the proposed method and the performance of the depth-edge detection has been studied analytically for different illumination conditions.

Citation Download Citation

Matthias Voigt, Felix Ospald, and Visvanathan Ramesh "Single image depth edges classification using a red, green, and blue light", Proc. SPIE 6762, Two- and Three-Dimensional Methods for Inspection and Metrology V, 676205 (10 October 2007); https://doi.org/10.1117/12.735745

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