Reconstructing shape from shading images under point light source illumination

Iwahori, Yuji; Sugie, Hidezumi; Ishii, Naohiro

doi:10.1109/icpr.1990.118069

Cited by 42 publications

(34 citation statements)

References 2 publications

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“…In addition to this assumption, classical photometric stereo method assumes the target object has Lambertian surface, the light sources are parallel illumination and uniform, the direction of incident illumination is known, there is no cast shadow or occlusions, and the target scene is static. There are numerous research tackling these assumptions, non-Lambertian reflectance [14][15][16][17], surface including specular [18][19][20], cast shadow problem [21], point light source [22][23][24], the non-uniform lighting [25][26][27] and unknown lighting direction [28][29][30]. In case of a point light source, we can rewrite the Equation (2) as follows:…”

Section: Photometric Stereo Methodsmentioning

confidence: 99%

Dynamic photometric stereo method using multi-tap CMOS image sensor

Yoda

Nagahara

Taniguchi

et al. 2016

2016 23rd International Conference on Pattern Recognition (ICPR)

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Abstract:The photometric stereo method enables estimation of surface normals from images that have been captured using different but known lighting directions. The classical photometric stereo method requires at least three images to determine the normals in a given scene. However, this method cannot be applied to dynamic scenes because it is assumed that the scene remains static while the required images are captured. In this work, we present a dynamic photometric stereo method for estimation of the surface normals in a dynamic scene. We use a multi-tap complementary metal-oxide-semiconductor (CMOS) image sensor to capture the input images required for the proposed photometric stereo method. This image sensor can divide the electrons from the photodiode from a single pixel into the different taps of the exposures and can thus capture multiple images under different lighting conditions with almost identical timing. We implemented a camera lighting system and created a software application to enable estimation of the normal map in real time. We also evaluated the accuracy of the estimated surface normals and demonstrated that our proposed method can estimate the surface normals of dynamic scenes.

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Section: Photometric Stereo Methodsmentioning

confidence: 99%

Dynamic photometric stereo method using multi-tap CMOS image sensor

Yoda

Nagahara

Taniguchi

et al. 2016

2016 23rd International Conference on Pattern Recognition (ICPR)

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“…Initially this idea has been proposed by Iwahori et al [14] and Clark [5] later. More recently, Migita et al [21] presented an optimization method for shape recovery while moving a point light source.…”

Section: Related Workmentioning

confidence: 99%

“…Thus, there may be points on the surface that are left undetermined. Denoting by Ω missing the set of such points (which is easily computed a priori by thresholding the values of over Ω missing (14) s =0 over Ω missing (15) which will enforce ∇z = 0 over this subset Ω missing . This can be seen as a built-in hole filling of the non-informative areas to ensure some smoothness and prevent artifacts.…”

Section: Advantages Over Previous Workmentioning

confidence: 99%

Unifying diffuse and specular reflections for the photometric stereo problem

Mecca

Quéau

2016

2016 IEEE Winter Conference on Applications of Computer Vision (WACV)

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OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an author-deposited version published in : http://oatao.univ-toulouse.fr/ Eprints ID : 16931The contribution was presented at WACV 2016 :http://www.wacv16.org/ AbstractAfter thirty years of researching, the photometric stereo technique for 3D shape recovery still does not provide reliable results if it is not constrained into very well-controlled scenarios. In fact, dealing with realistic materials and lightings yields a non-linear bidirectional reflectance distribution function which is primarily difficult to parametrize and then arduous to solve. With the aim to let the photometric stereo approach face more realistic assumptions, in this work we firstly introduce a unified irradiance equation describing both diffuse and specular reflection components in a general lighting setting. After that, we define a new equation we call unifying due to its basic features modeling the photometric stereo problem for heterogeneous materials. It is provided by making the ratio of irradiance equations holding both diffuse and specular reflections as well as non-linear light propagation features simultaneously. Performing a wide range of experiments, we show that this new approach overcomes state-of-the-art since it leads to a system of unifying equations which can be solved in a very robust manner using an efficient variational approach.

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“…Work has also been performed under a point light source assumption. Iwahori et al [11] performed shape from shading assuming a point light source. Kim et al [12] also reconstructed shape using photometric stereo and multiple point light source positions.…”

Section: Introductionmentioning

confidence: 99%