基于RGB-D的无纹理碎片检测的AR拼图

2014 IEEE Virtual Reality (VR) Pub Date : 2014-04-24 DOI:10.1109/VR.2014.6802109

J. P. Lima, J. M. Teixeira, V. Teichrieb

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引用次数: 2

摘要

本演示演示了一个AR应用程序，该应用程序可以帮助用户解决由具有不同形状的无纹理碎片组成的拼图。检测碎片，估计它们的姿势，并突出显示正确组装的碎片。为了检测碎片，使用深度辅助轮廓校正(deep - assisted correction of Contours, DARC)方法，该方法使用RGB-D相机对无纹理的平面物体进行检测和姿态估计。

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AR jigsaw puzzle with RGB-D based detection of texture-less pieces

This demo presents an AR application that helps the user to solve a jigsaw puzzle that consists of non-textured pieces with a discriminative shape. The pieces are detected, their poses are estimated and the ones that are correctly assembled are highlighted. In order to detect the pieces, the Depth-Assisted Rectification of Contours (DARC) method is used, which performs detection and pose estimation of texture-less planar objects using an RGB-D camera.

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来源期刊

2014 IEEE Virtual Reality (VR)

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