3D model generation of real-objects using depth and color information
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We propose and demonstrate a method of generating 3D model using depth and color information of real-object using Microsoft Kinect sensor using our proposed pixel mapping algorithm. The primary idea of the method is to manipulate RGB and depth data within arrays to plot in three dimensional frame to generate the 3D colored model of any real-object. The proposed system comprises of 3 phases. The phases include acquisition of color and depth information of real objects, extraction and processing of RGB and depth data, generating 3D model using our proposed pixel mapping algorithm. Whereas, our proposed algorithm focuses on creating several 1D arrays for depth as well as the color data meaning Red, Green, Blue pixel values separately. By mapping the depth values accordingly pixel-wise 3D black and white model can be created where the background is also included. By limiting the depth values according to the objects position the background can also be removed to construct the focused object's 3d model. Furthermore, our algorithm maps the R, G, B arrays in the black and white model to add proper colors pixel-wise .As a result, the colorful RGB 3D model can be achieved.