Exemplar based texture recovery technique for active one shot scan

Thibault Yohan, Kawasaki Hiroshi, Furukawa Ryo, Sagawa Ryusuke

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

2 被引用数 (Scopus)

抄録

Range scanners based on camera-projector configurations have been attracting the attention of many researchers and computer vision practitioners due to its ability of performing 3D scanning with high accuracy and frame rates. This class of scanners is more effective under dark capturing environments by projecting bright colored patterns on objects. As a consequence, the projected pattern is prone to interfere with the reflectance and texture characteristics of the surfaces of the objects. This paper introduces a novel technique for recovering texture information from objects obfuscated by projected patterns. To that end, prior to 3D scanning our method acquires a small amount of pairs of images of the object with and without the projected pattern. These pairs of images are then used to build a dictionary that establishes a relationship between the actual textures and the projected patterns. Following that, 3D scanning is performed normally using a camera-projector setup, and the video frames captured by the camera are matched against the dictionary to filter candidates that resemble the original textures. Regularization is applied on the potential set of candidates to cull out poorly detected one, resulting in smooth texture-aware images.

本文言語英語
ホスト出版物のタイトルProceedings of the 13th IAPR International Conference on Machine Vision Applications, MVA 2013
出版社MVA Organization
ページ331-334
ページ数4
ISBN(印刷版)9784901122139
出版ステータス出版済み - 2013
外部発表はい
イベント13th IAPR International Conference on Machine Vision Applications, MVA 2013 - Kyoto, 日本
継続期間: 5 20 20135 23 2013

出版物シリーズ

名前Proceedings of the 13th IAPR International Conference on Machine Vision Applications, MVA 2013

会議

会議13th IAPR International Conference on Machine Vision Applications, MVA 2013
国/地域日本
CityKyoto
Period5/20/135/23/13

All Science Journal Classification (ASJC) codes

  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ サイエンスの応用

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