Abstract

In the last few years there has been a renewed interest in 3D contents in the general public. Reasons for this development include the aggressive marketing of 3D movies and TVs as well as the availability of low cost consumer stereoscopic and depth cameras. From a research standpoint, the additional images or direct depth measurement from novel sensors provide great opportunities for many vision tasks. This is especially true for those tasks that traditionally relied on 2D information often captured from a single viewpoint. The goal of this special issue was therefore to attract the latest research in 3D imaging, processing and modelling. In response to the call for contributions we received a total of 60 submissions, out of which the following 16 papers were selected during the reviewing process. Sensors and techniques for the acquisition of 3D information through optical means continue to evolve: the first four papers in this issue introduce innovations and improvements in this area, as well as a framework for sensor assessment. The paper “Depth from Refraction Using a Transparent Medium with Unknown Pose and Refractive Index” by Chen et al. describes a method to recover the scene depth using a small number of images with and one without a

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