RGB-D Based Detection of Texture-Less Planar Objects Applied to an AR Jigsaw Puzzle

被引：3

作者：

Lima, Joao Paulo ^{[1
]}

Teixeira, Joao Marcelo ^{[1
]}

Teichrieb, Veronica ^{[2
]}

机构：

[1] Univ Fed Rural Pernambuco, Dept Estat & Informat, Recife, PE, Brazil

[2] Univ Fed Pernambuco, Informat Ctr, Voxar Labs, Recife, PE, Brazil

来源：

2014 XVI SYMPOSIUM ON VIRTUAL AND AUGMENTED REALITY (SVR) | 2014年

关键词：

board games; pose estimation; texture-less objects; augmented reality; RGB-D cameras; POSE ESTIMATION; RECOGNITION; TRACKING; TEMPLATES;

D O I：

10.1109/SVR.2014.38

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents an Augmented Reality application that aims to help players to solve a jigsaw puzzle that consists of texture-less planar pieces with a discriminative shape. The pieces are detected using a technique based on RGB-D consumer devices, their poses are estimated, correctly assembled pieces are highlighted and additional information is rendered over each piece. A user study was conducted to evaluate the system, which demonstrated that players who used the application for solving the jigsaw puzzle obtained better results than the ones who did not use it.

引用

页码：80 / 88

页数：9

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