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Photometric stereodataset

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Photometric stereoimplementation

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This repository contains an implementation of Woodham's algorithm as a standalone module, an example script showing its usage and several example image sets. The algorithm requires the knowledge of light directions. You can set them by using tilt and slant angles (in degrees) or loading a matrix containing the directions. Reference frames are shown in the following images.

Photometric stereopython

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Photometric stereopdf

The LED consists of a semiconductor material that is n-doped, on top there is a very thin p-doped layer which has a lack of charge carriers. When applying a voltage, an excess of charges is generated in the junction, which recombine with holes in the p-doped material and release their energy there. Since the upper layer is very thin, the light flash can emerge from the material. The light generated in this way is monochromatic due to the exactly defined energy amounts of the semiconductor material. As opposed to an incandescent lamp, the light always has one particular colour.

Light-emitting diodes, LEDs for short, have been used for approximately 10 years in industrial image processing. By constantly improving the semi-conductor materials, the intensity could be increased extremely. Today, LED lights cover a major part of industrial applications. Halogen and fluorescent lamps are only frequently used in applications which require large-area illumination, like robot applications or line scan camera inspections where much light and/or the illumination of large areas is required as well.

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Photometric stereoalbedo

Photometric stereosoftware

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Electroluminescent diodes work like semiconductor diodes which generate light in forward direction. Light is emitted in this way. The abbreviation LED stands for "light-emitting diode". The energy and colour of generated light is determined by the semi-conductor material used and its doping. Mixed crystals such as gallium arsenide (GaAs), gallium arsenide phosphide (GaAsP), indium gallium nitride (InGaN), etc. are used.

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Photometric Stereocamera

Photometric stereogithub

Photometric stereo has several applications: it is used to detect small surface defects, imperceptible to the human eye; it has also medical applications, i.e. to detect skin lesions and help in the diagnosis of melanoma. More recently, it has been used also to perform a non-invasive 3D scan of surfaces, and as a cheap method to get a real-time facial motion capture, widely used in computer graphics applications.

White LEDs, too, primary only generate monochromatic light. Only by means of a trick, white light is produced: The light of a 100% blue-emitting LED stimulates yellow fluorescent dyes, which are arranged around the light-emitting crystal. White light is mixed from the direct emission of blue light and the fluorescence of yellow-green and red light.

The luminous intensity grows proportionally to the amperage, which is used in industrial machine vision in order to generate high quantities of light by means of high-power LEDs. A consumption of 5 - 25 watts is typical for an LED illumination. The energy yield can be increased even further if you increase the amperage over 100% of the permissible value. The LED would be damaged in continuous operation immediately. By means of a flash controller, however, short intense current pulses (1 per inspection) can be used to overflash to the triple to sixfold quantity in order to generate a multiple of the luminous power.

Photometric stereo is a method of estimating surface geometry by using a fixed-position camera and multiple light sources. It was proposed by Robert J Woodham in 1980 as an alternative to other stereo techniques, that needed two images of the same object, viewed from different directions, to determine its surface orientation. These techniques require some knowledge of the correspondence between picture elements, that is not always easy to achieve. The idea of photometric stereo is to vary the direction of incident illumination between successive images, while the viewing direction is constant; in this way, the correspondence of image points is known beforehand, as the position of the object is not changed, and surface orientation is determined by using the radiance values recorded with the different images.

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