Photometric stereo for strong specular highlights

Autor: Maryam Khanian, Ali Sharifi Boroujerdi, Michael Breuß
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