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In examples, the modeled data is used to render images depicting the scene with realism or to superimpose virtual graphics on the real world in a realistic manner. In various examples, surfaces normals of patches of surfaces are calculated using the captured data to enable fine detail such as human hair, netting, textured surfaces to be modeled. In examples, a user moves around in an environment capturing color images of surfaces in the scene from different orientations under known lighting conditions. For example, the detected material properties are calculated using a photometric stereo system which exploits known relationships between lighting conditions, surface normals, true color and image intensity. Its sole purpose is to present a selection of concepts disclosed herein in a simplified form as a prelude to the more detailed description that is presented later.ĭetecting material properties such as reflectivity, true color and other properties of surfaces in a real world environment is described in various examples using a single hand-held device. This summary is not an extensive overview of the disclosure and it does not identify key/critical elements or delineate the scope of the specification. The following presents a simplified summary of the disclosure in order to provide a basic understanding to the reader. The embodiments described below are not limited to implementations which solve any or all of the disadvantages of known equipment and methods for detecting material properties for 3D environment modeling. These types of approaches are time consuming, expensive and difficult for novice users to implement.
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Another option is to use light sources and cameras on a gantry that circles the objects whose material properties are being assessed. Material properties of objects and surfaces include albedo (true color), radiance, irradiance, and other information about the types of materials scene objects consist of.Įxisting systems for capturing material properties of objects in the environment typically rely on extensive hardware setups and use multiple controllable light sources and high-speed cameras. For example, material properties of objects and surfaces in the environment are typically difficult for a computer system to obtain in a fast, accurate and practical manner. However, the amount of realism that can be achieved is constrained by the amount of information available to the computer system about the real world environment and the objects in it. There is an ongoing need to improve the realism that can be achieved using such three-dimensional (3D) computer models. For example, such models can be used in applications such as immersive gaming, augmented reality, architecture/planning, robotics, and engineering prototyping. Three-dimensional computer models of a real-world environment are useful in a wide variety of applications. 28, 2012, which is hereby incorporated by reference herein for all intents and purposes.
#Photometric stereo software Patch
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).The present application is a continuation of U.S. 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.
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