An efficient surface registration using smartphone
| Autor: | Yago Diez, Joaquim Salvi, Tomislav Pribanić, Ferran Roure |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
surface registration
3D reconstruction structured light Stereo vision inertial sensor smartphone cell phone business.industry Computer science Coordinate system Point cloud 020207 software engineering 02 engineering and technology Computer Science Applications Software Stereopsis Hardware and Architecture Robustness (computer science) 0202 electrical engineering electronic engineering information engineering Robot 020201 artificial intelligence & image processing Computer vision Computer Vision and Pattern Recognition Artificial intelligence business Structured light |
| Zdroj: | Machine Vision and Applications. 27:559-576 |
| ISSN: | 1432-1769 0932-8092 |
| DOI: | 10.1007/s00138-016-0751-0 |
| Popis: | Gathering 3D object information from the multiple spatial viewpoints typically brings up the problem of surface registration. More precisely, registration is used to fuse 3D data originally acquired from different viewpoints into a common coordinate system. This step often requires the use of relatively bulky and expensive robot arms (turntables) or presents a very challenging problem if constrained to software solutions. In this paper we present a novel surface registration method, motivated by an efficient and user-friendly implementation. Our system is inspired by the idea that three out of generally six registration parameters (degrees of freedom) can be provided in advance, at least to some degree of accuracy, by today's smartphones. Experimental evaluations demonstrated the successful point cloud registrations of $$\sim $$~10,000 points in a matter of seconds. The evaluation included comparison with state-of-the-art descriptor methods. The method's robustness was also studied and the results using 3D data from a professional scanner showed the potential for real-world applications. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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