By Soha Maad.
Digital truth (VR) and Augmented fact (AR) instruments and strategies offer digital environments that experience key features in universal with our actual atmosphere. Viewing and interacting with 3D gadgets is toward fact than summary mathematical and second techniques. Augmented truth (AR) expertise, a extra expansive kind of VR is rising as a state of the art know-how that integrates photographs of digital items right into a genuine global. In that admire digital and Augmented truth can most likely serve goals: reflecting realism via a more in-depth correspondence with actual event, and increasing the ability of computer-based expertise to higher mirror summary event. With the becoming volume of electronic information that may be kept and accessed there's a emerging have to harness this information and rework it into an engine in a position to constructing our view and notion of the realm and of boosting the industrial job throughout area verticals. Graphs, pie charts and spreadsheet usually are not anymore the original medium to express the area. complex interactive styles of visualization and representations are rising as a doable replacement with the newest advances in rising applied sciences akin to AR and VR. And the aptitude and rewards are great. This ebook discusses the possibilities and demanding situations dealing with the improvement of this expertise.
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For example, the little red sphere in the front of the bottom scene in Figure 10 does not cast a double shadow inside the shadow already cast by the walking person. g. is outside the camera’s fieldof-view, double shadows can occur. We are developing techniques to deal with this problem 28 Augmented Reality based on creating “shadow protection masks” from the detected shadows in the scene. Since we know where the real shadows are we can use these masks to avoid casting extra shadow in them. 9. Conclusion For photo-realistic Augmented Reality it is important to ensure that the augmented objects are rendered with illumination which is consistent with the real scene illumination.
The color images are also in 640x480 pixel resolution. For all images shown in this chapter we have used to rightmost of the two color images supplied by the stereo camera. We have used Google Maps to look up the earth latitude and longitude of the positions where we have placed the camera for the reported test sequences. The camera is calibrated to a scene based coordinate system using a standard camera calibration process involving a checkerboard pattern. This pattern is visible in the images shown in Figure 2.
This process will eliminate all global illumination effects from the albedo map. All subsequent rendering involving the real scene geometry uses this estimated albedo map as texture for the real scene mesh. Then a binary mask image is rendered to indicate where in the image the augmented object will be projected, see Figure 8. This mask is used to mask out areas in the image resulting from rendering the scene mesh, textured with estimated albedo map, and illuminated with the estimated light. Then the scene mesh, textured with the albedo map, plus the augmented objects, are rendered with the same illumination.