Perspective photometric stereo beyond Lambert

Khanian, Maryam; Boroujerdi, Ali Sharifi; Breuß, Michael

doi:10.1117/12.2182839

Cited by 1 publication

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“…Our work extends the approach presented by Khanian et al [43]. A main aim of the latter is to study the effect of lighting directions on numerical stability.…”

Section: Relation To Other Workmentioning

confidence: 57%

“…As a side note, since the complete Blinn-Phong model we employ is extensively studied in computer graphics, the surface reflectance in input images as well as expected computational results are potentially easier to interprete than in methods that rely on complex preprocessing steps. Conceptually our work extends the approach presented by Khanian et al [17]. A main point of the latter conference article is to study the effect of lightening directions on numerical stability while the presentation is restricted there to one spatial dimension.…”

Section: Introductionmentioning

confidence: 76%

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Photometric stereo for strong specular highlights

2018

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Photometric stereo is a fundamental technique in computer vision known to produce 3D shape with high accuracy. It uses 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 3D reconstruction method assume orthographic projection for the camera model. In addition, they mainly use the Lambertian reflectance model as the way that light scatters at surfaces. Thus, providing reliable photometric stereo results from real world objects still remains a challenging task. We address 3D reconstruction by use of a more realistic set of assumptions, combining for the first time the complete Blinn-Phong reflectance model and perspective projection. Furthermore, we compare two different methods of incorporating the perspective projection into our model. Experiments are performed on both synthetic and real world images; the latter 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 many specular highlights.

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“…Our work extends the approach presented by Khanian et al [43]. A main aim of the latter is to study the effect of lighting directions on numerical stability.…”

Section: Relation To Other Workmentioning

confidence: 57%

Section: Introductionmentioning

confidence: 76%