Robust Computer Vision Techniques for High-Quality 3D Modeling
| Autor: | Jiyoung Jung, Joon-Young Lee, In So Kweon, Yudeog Han, Jaesik Park, Dong-Geol Choi, Yunsu Bok |
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| Rok vydání: | 2013 |
| Předmět: |
business.industry
Computer science 3D reconstruction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Object (computer science) 3D modeling Sensor fusion Planar Photometric stereo RGB color model Computer vision Artificial intelligence business Representation (mathematics) ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | ACPR |
| Popis: | In this paper, we present our recent sensor fusion approaches to obtain high-quality 3D information. We first discuss two fusion methods that combine geometric and photometric information. The first method, multiview photometric stereo, reconstructs the full 3D shape of a target object. The geometric and photometric information is efficiently fused by using a planar mesh representation. The second method performing shape-from shading with a Kinect sensor estimates the shape of an object under uncalibrated natural illumination. Since the method uses a single RGB-D input, it is capable of capturing the high quality shape details of a dynamic object under varying illumination. Subsequently, we summarize a calibration algorithm of a time of-flight (ToF) sensor and a camera fusion system with a 2.5D pattern. Lastly, we present a camera-laser sensor fusion system for the large-scale 3D reconstruction. |
| Databáze: | OpenAIRE |
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