METHOD FOR RECONSTRUCTION OF FUNCTIONALLY DEFINED SURFACES BASED ON STEREO IMAGES OF REAL OBJECTS
S. I. Vyatkin, B. S. Dolgovesov
Institute of Automation and Electrometry, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
Keywords: reconstruction of three-dimensional objects, silhouette, stereo pair, depth map, octal tree, perturbation functions
Abstract
A method for reconstructing functionally defined surfaces from stereo images of real objects is proposed. A well-known approach to calculating volume models based on images of silhouettes in the object space is used at the stage of preprocessing. A well-known area-based algorithm with correlation of image intensity levels is applied to calculate the depth map. In order to reconstruct a smooth surface with a compact description, a new method of transformation into a functionally defined model is proposed.
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