Depth map generation by image classification

Sebastiano Battiato; Salvatore Curti; Marco La Cascia; Marcello Tortora; Emiliano Scordato

doi:10.1117/12.526634

16 April 2004 Depth map generation by image classification

Sebastiano Battiato; Salvatore Curti; Marco La Cascia; Marcello Tortora; Emiliano Scordato

Author Affiliations +

Proceedings Volume 5302, Three-Dimensional Image Capture and Applications VI; (2004) https://doi.org/10.1117/12.526634
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

This paper presents a novel and fully automatic technique to estimate depth information from a single input image. The proposed method is based on a new image classification technique able to classify digital images (also in Bayer pattern format) as indoor, outdoor with geometric elements or outdoor without geometric elements. Using the information collected in the classification step a suitable depth map is estimated. The proposed technique is fully unsupervised and is able to generate depth map from a single view of the scene, requiring low computational resources.

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Sebastiano Battiato, Sebastiano Battiato, Salvatore Curti, Salvatore Curti, Marco La Cascia, Marco La Cascia, Marcello Tortora, Marcello Tortora, Emiliano Scordato, Emiliano Scordato, } "Depth map generation by image classification", Proc. SPIE 5302, Three-Dimensional Image Capture and Applications VI, (16 April 2004); doi: 10.1117/12.526634; https://doi.org/10.1117/12.526634

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