Photometric stereo for strong specular highlights
Autor: | Maryam Khanian, Ali Sharifi Boroujerdi, Michael Breuß |
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Rok vydání: | 2017 |
Předmět: |
FOS: Computer and information sciences
Computer science photometric stereo (PS) Computer Vision and Pattern Recognition (cs.CV) Computer Science - Computer Vision and Pattern Recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology lcsh:QA75.5-76.95 Computer graphics diffuse reflection Artificial Intelligence Position (vector) specular reflection 0202 electrical engineering electronic engineering information engineering Specular highlight FOS: Mathematics complete Blinn–Phong model Computer vision Specular reflection Mathematics - Optimization and Control ComputingMethodologies_COMPUTERGRAPHICS business.industry 3D reconstruction Orthographic projection 020207 software engineering perspective projection Computer Graphics and Computer-Aided Design Lambertian reflectance Photometric stereo Optimization and Control (math.OC) 020201 artificial intelligence & image processing lcsh:Electronic computers. Computer science Computer Vision and Pattern Recognition Artificial intelligence business |
Zdroj: | Computational Visual Media, Vol 4, Iss 1, Pp 83-102 (2018) |
DOI: | 10.48550/arxiv.1709.01357 |
Popis: | Photometric stereo (PS) is a fundamental technique in computer vision known to produce 3-D shape with high accuracy. The setting of PS is defined by using several input images of a static scene taken from one and the same camera position but under varying illumination. The vast majority of studies in this 3-D reconstruction method assume orthographic projection for the camera model. In addition, they mainly consider the Lambertian reflectance model as the way that light scatters at surfaces. So, providing reliable PS results from real world objects still remains a challenging task. We address 3-D reconstruction by PS using a more realistic set of assumptions combining for the first time the complete Blinn-Phong reflectance model and perspective projection. To this end, we will compare two different methods of incorporating the perspective projection into our model. Experiments are performed on both synthetic and real world images. Note that our real-world experiments do not benefit from laboratory conditions. The results show the high potential of our method even for complex real world applications such as medical endoscopy images which may include high amounts of specular highlights. |
Databáze: | OpenAIRE |
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