Abstract

In 3D TV applications, the extraction of 3D representations of dynamic scenes from images plays a central role in the preparation of the presented visual content. This paper focuses on the stereo cue to the extraction of these representations and, in particular, on the recently developed family of volumetric approaches to stereo. Two methods are proposed that improve the accuracy of volumetric stereo approaches, which compare backprojections of image regions to establish stereo correspondences. The proposed methods are based on maximizing the utilization of the available image resolution, as well as, equalizing the sampled image area across pairs of image regions that are compared.

Highlights

  • The goal of 3D television demands for high-quality and freeviewpoint visualization of a dynamic scene

  • The requirement of realistic free-viewpoint visualization of 3D content demands knowledge of scene geometry, in order to cope with occlusions and motion parallax. This knowledge refers to estimating at least the locations at the surfaces of the imaged scene and is called the reconstruction of the scene

  • Other than the change in the shape of the backprojection surface, no other algorithmic modifications to planar spacesweeping have been introduced in this technique

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Summary

Introduction

The goal of 3D television demands for high-quality and freeviewpoint visualization of a dynamic scene. Efforts towards the more accurate reconstruction of scenes are presented. The requirement of realistic free-viewpoint visualization of 3D content demands knowledge of scene geometry, in order to cope with occlusions and motion parallax. This knowledge refers to estimating at least the locations at the surfaces of the imaged scene (if not the corresponding surface normals too) and is called the reconstruction of the scene. The demand for high-quality visual content underscores the need for accurate extraction of such scene reconstructions. Approaches that synthesize views (e.g., [1]) instead of reconstructing the imaged structure are not considered in the context of this work, as they exhibit limited treatment of occlusions

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