To achieve feature-appropriate surface contrast on these difficult object surfaces and ultimately gather a 3D perspective, Photometric Stereo may be applied to vary the direction of incident illumination between successive views, while holding the viewing direction constant.Īchieving Surface Contrast with Photometric Stereo

Therefore, it may be ineffective in certain applications, because local surface shapes (including embossing or other 3D details) cannot, in general, be determined from the intensity value recorded at a single image point. A standard vision light and camera configuration, typically used in machine vision, only captures images from a single illumination/viewer perspective. However, some objects have 3D aspects that make accurately identifying surface defects more difficult, such as embossing, textured or highly reflective surfaces, as well as those objects exhibiting little to no feature contrast or texture. For many surfaces, simple defects such as scratches and dents are easily identifiable with a machine vision camera and a traditional lighting solution. So far used in the past, initially carried out smoothing of contents of noised 2D intensity images, has poorer performance, than that actually realized with patchlet Photometric Stereo implementation (that's author's opinion on this algorithms, and notions, accordingly to moving patch of locally processed data of intensities within set of 2D images).Machine vision is commonly deployed in part inspections to gather feature-appropriate identifying information from an object’s surface and to increase the speed, accuracy, and consistency of the inspection process. Patchlet PStereo could be used, as an improved approach to 3D reconstruction tasks, in strong presence of noises within data sets of 2D intensity images. And it all has been aimed for introducing new aspects of algorithm implementations for Photometric Stereo methods, used in 3D surface reconstruction's tasks. Moreover, 4 sets of the exemplary issued commands, as well as, corresponding png written figures, have been also contained within this bunch of m-scripts (within zip-file). However, it would show its value only with the thresholding mechanism. It introduces notion of patchlet Photometric Stereo, where linear combination of: a) both the resulted intensities and b) directional parameters of light sources, are taken into account altogether, within moving patchlets of local data on 2D images.

This is the 2nd and newer demo (in subject of Photometric Stereo), which consists of few running m-scripts, which have been oryginally written in Matlab environment.

Photometric stereo software