Texture-less planar object detection and pose estimation using Depth-Assisted Rectification of Contours

João Paulo Lima, Hideaki Uchiyama, Veronica Teichrieb, Eric Marchand

研究成果: 著書/レポートタイプへの貢献会議での発言

7 引用 (Scopus)

抄録

This paper presents a method named Depth-Assisted Rectification of Contours (DARC) for detection and pose estimation of texture-less planar objects using RGB-D cameras. It consists in matching contours extracted from the current image to previously acquired template contours. In order to achieve invariance to rotation, scale and perspective distortions, a rectified representation of the contours is obtained using the available depth information. DARC requires only a single RGB-D image of the planar objects in order to estimate their pose, opposed to some existing approaches that need to capture a number of views of the target object. It also does not require to generate warped versions of the templates, which is commonly needed by existing object detection techniques. It is shown that the DARC method runs in real-time and its detection and pose estimation quality are suitable for augmented reality applications.

元の言語英語
ホスト出版物のタイトルISMAR 2012 - 11th IEEE International Symposium on Mixed and Augmented Reality 2012, Science and Technology Papers
ページ297-298
ページ数2
DOI
出版物ステータス出版済み - 12 1 2012
イベント11th IEEE and ACM International Symposium on Mixed and Augmented Reality, ISMAR 2012 - Atlanta, GA, 米国
継続期間: 11 5 201211 8 2012

出版物シリーズ

名前ISMAR 2012 - 11th IEEE International Symposium on Mixed and Augmented Reality 2012, Science and Technology Papers

その他

その他11th IEEE and ACM International Symposium on Mixed and Augmented Reality, ISMAR 2012
米国
Atlanta, GA
期間11/5/1211/8/12

Fingerprint

Textures
Augmented reality
Invariance
Cameras
Object detection

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

これを引用

Lima, J. P., Uchiyama, H., Teichrieb, V., & Marchand, E. (2012). Texture-less planar object detection and pose estimation using Depth-Assisted Rectification of Contours. : ISMAR 2012 - 11th IEEE International Symposium on Mixed and Augmented Reality 2012, Science and Technology Papers (pp. 297-298). [6402582] (ISMAR 2012 - 11th IEEE International Symposium on Mixed and Augmented Reality 2012, Science and Technology Papers). https://doi.org/10.1109/ISMAR.2012.6402582

Texture-less planar object detection and pose estimation using Depth-Assisted Rectification of Contours. / Lima, João Paulo; Uchiyama, Hideaki; Teichrieb, Veronica; Marchand, Eric.

ISMAR 2012 - 11th IEEE International Symposium on Mixed and Augmented Reality 2012, Science and Technology Papers. 2012. p. 297-298 6402582 (ISMAR 2012 - 11th IEEE International Symposium on Mixed and Augmented Reality 2012, Science and Technology Papers).

研究成果: 著書/レポートタイプへの貢献会議での発言

Lima, JP, Uchiyama, H, Teichrieb, V & Marchand, E 2012, Texture-less planar object detection and pose estimation using Depth-Assisted Rectification of Contours. : ISMAR 2012 - 11th IEEE International Symposium on Mixed and Augmented Reality 2012, Science and Technology Papers., 6402582, ISMAR 2012 - 11th IEEE International Symposium on Mixed and Augmented Reality 2012, Science and Technology Papers, pp. 297-298, 11th IEEE and ACM International Symposium on Mixed and Augmented Reality, ISMAR 2012, Atlanta, GA, 米国, 11/5/12. https://doi.org/10.1109/ISMAR.2012.6402582
Lima JP, Uchiyama H, Teichrieb V, Marchand E. Texture-less planar object detection and pose estimation using Depth-Assisted Rectification of Contours. : ISMAR 2012 - 11th IEEE International Symposium on Mixed and Augmented Reality 2012, Science and Technology Papers. 2012. p. 297-298. 6402582. (ISMAR 2012 - 11th IEEE International Symposium on Mixed and Augmented Reality 2012, Science and Technology Papers). https://doi.org/10.1109/ISMAR.2012.6402582
Lima, João Paulo ; Uchiyama, Hideaki ; Teichrieb, Veronica ; Marchand, Eric. / Texture-less planar object detection and pose estimation using Depth-Assisted Rectification of Contours. ISMAR 2012 - 11th IEEE International Symposium on Mixed and Augmented Reality 2012, Science and Technology Papers. 2012. pp. 297-298 (ISMAR 2012 - 11th IEEE International Symposium on Mixed and Augmented Reality 2012, Science and Technology Papers).
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