This article presents a complete hybrid object recognition system for three-dimensional objects using characteristic views (ChVs). High-quality 2-D reconstructions have to be generated from intensity or color data, respectively, to integrate the ChV representation method into a recognition system. First, we present an approach for obtaining edges and gradient information from color images. Second, we present an adaptive edge linking process that transforms the image data into a suitable form. The edge linker uses an energy function to combine data from the edge detector and color gradient information to improve the results of the edge detector for the 2-D reconstruction. Results are presented for real color images.
Object recognition: obtaining 2-D reconstructions from color edges
1998-01-01
585463 byte
Conference paper
Electronic Resource
English
Object Recognition: Obtaining 2-D Reconstructions from Color Edges
British Library Conference Proceedings | 1998
|Reflectance-Based Classification of Color Edges
British Library Conference Proceedings | 2003
|Obtaining color television pictures from space.
NTRS | 1968
|Reflectance-based classification of color edges
IEEE | 2003
|Image Generation from Scene Graph with Object Edges
IEEE | 2022
|