Real-time visual tracking of less textured three-dimensional objects on mobile platforms
- Title
- Real-time visual tracking of less textured three-dimensional objects on mobile platforms
- Author
- 박종일
- Keywords
- vision-based tracking; model-based tracking; augmented reality; real-time vision processing; embedded computer vision
- Issue Date
- 2012-12
- Publisher
- SPIE - The International Society for Optics Engineering
- Citation
- Optical engineering, 2012, 51(12), P.127202
- Abstract
- Natural feature-based approaches are still challenging for mobile applications (e. g., mobile augmented reality), because they are feasible only in limited environments such as highly textured and planar scenes/objects, and they need powerful mobile hardware for fast and reliable tracking. In many cases where conventional approaches are not effective, three-dimensional (3-D) knowledge of target scenes would be beneficial. We present a well-established framework for real-time visual tracking of less textured 3-D objects on mobile platforms. Our framework is based on model-based tracking that efficiently exploits partially known 3-D scene knowledge such as object models and a background's distinctive geometric or photometric knowledge. Moreover, we elaborate on implementation in order to make it suitable for real-time vision processing on mobile hardware. The performance of the framework is tested and evaluated on recent commercially available smartphones, and its feasibility is shown by real-time demonstrations. (C) 2013 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.OE.51.12.127202]
- URI
- https://www.spiedigitallibrary.org/journals/Optical-Engineering/volume-51/issue-12/127202/Real-time-visual-tracking-of-less-textured-three-dimensional-objects/10.1117/1.OE.51.12.127202.short?SSO=1http://hdl.handle.net/20.500.11754/51395
- ISSN
- 0091-3286
- DOI
- 10.1117/1.OE.51.12.127202
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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