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Open Access 3D shape template generation from RGB-D images capturing a moving and deforming object

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Automatically reconstructing a 3D shape model of a nonrigid object using a sequence from a single commodity RGB-D sensor is a challenging problem. Some techniques use a 3D shape template of a target object; however, in order to generate the template automatically, the target object required to be stationary. Otherwise, a non-rigid ICP algorithm, which registers a pair of point clouds, can be used for reconstructing 3D geometry of a non-rigid object directly, but it often fails due to the ambiguity in point correspondences. This paper presents a method for generating a 3D shape template from a single RGB-D sequence. In order to reduce the ambiguity in point correspondences, our method leverages point trajectories obtained in the RGB images, which can be used for associating points in different point clouds. We demonstrate the capability of our method using deforming human bodies.

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Document Type: Research Article

Publication date: February 14, 2016

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  • For more than 30 years, the Electronic Imaging Symposium has been serving those in the broad community - from academia and industry - who work on imaging science and digital technologies. The breadth of the Symposium covers the entire imaging science ecosystem, from capture (sensors, camera) through image processing (image quality, color and appearance) to how we and our surrogate machines see and interpret images. Applications covered include augmented reality, autonomous vehicles, machine vision, data analysis, digital and mobile photography, security, virtual reality, and human vision. IS&T began sole sponsorship of the meeting in 2016. All papers presented at EIs 20+ conferences are open access.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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