NDLI: 3D Object Finding Using Geometrical Constraints on Depth Images

Content Provider	IEEE Xplore Digital Library
Author	Van-Hung Le Hai Vu Thuy Thi Nguyen Thi-Lan Le Thi-Thanh-Hai Tran Vlaminck, M. Philips, W. Veelaert, P.
Copyright Year	2015
Description	Author affiliation: Image Process. & Interpretation, Ghent Univ., Ghent, Belgium (Vlaminck, M.; Philips, W.; Veelaert, P.) \|\| Fac. of Inf. Technol., Vietnam Nat. Univ. Agric., Vietnam (Thuy Thi Nguyen) \|\| Int. Res. Inst. MICA, HUST, Vietnam (Hai Vu; Thi-Lan Le; Thi-Thanh-Hai Tran) \|\| Fac. of Inf. Technol., Gen. Stat. Office of Vietnam, Vietnam (Van-Hung Le)
Abstract	Finding an object in a 3D scene is an important problem in the robotics, especially in assistive systems for visually impaired people. In most systems, the first and most important step is how to detect an object in a complex environment. In this paper, we propose a method for finding an object using geometrical constraints on depth images from a Kinect. The main advantage of the approach is it is invariant to lighting condition, color and texture of the objects. Our approach does not require a training phase, therefore it can reduce the time of preparing data and learning model. The objects of interest have a simple geometrical structure such as coffee mugs, bowls, boxes and are on a table. Overall, our approach is faster and more accurate than methods using 2D features on depth images for training an object model.
Starting Page	389
Ending Page	394
File Size	649364
Page Count	6
File Format	PDF
ISBN	9781467380133
DOI	10.1109/KSE.2015.17
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-08
Publisher Place	Vietnam
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Kinect Three-dimensional displays Shape Image color analysis Depth data Clustering algorithms Object detection Feature extraction Geometrical constraint 3D object detection
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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