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In this paper a novel approach of stereoscopic depth inpainting is used to model lunar craters. In the case of lunar mission, the disparity map generation using stereoscopic images is limited by shadows inside impact craters. Impact craters are most important features on lunar surface but cannot be modeled using stereo cue alone. Taking into consideration the importance of crater modeling and limitations...
Affordability, redistributable, modifiability, availability of source code, zero price and freedom of choice are the characteristics which have made Open source (OS) a preferred platform for many software industries and individuals, who believe to use the power of high quality software. The technological motivation for OSS development directly relates to the software crisis, which clearly specifies...
In remote sensing linear scanners are widely used for acquiring stereo images as they provide data with very high resolution. A trinocular stereo view increases the accuracy of 3D modeling as it gives an additional view to compensate occlusions. However data in triplet mode by linear scanners is challenged by data processing steps which lead to a new research area for remote sensing society. In various...
Quality of Tasar fabric demands uniform coloured silk yarn during weaving. But, the variation of yarn colour depends on various natural factors like eco-race and feeding of silk worms, weather conditions etc and other production factors. So, silk yarns need to be sorted after production. At present, yarns are sorted manually by a group of experts which is subjective in nature. Again, due to lustrous...
The performance of the most popular unsupervised clustering algorithm, k-means depends on the initial seed points. This paper proposes a mode based adaptive seed selection algorithm, which is used to improve the performance of Wishart segmentation for the segmentation of polarimetric synthetic aperture radar images.
We propose a novel technique for registration of 3D point sets using both the RGB data as well as the depth data. The main advantage of any RGB-D sensor is the pixel wise correspondence between RGB values and depth values, which can be leveraged to register two RGB-D datasets. RGB images are used for correspondence identification and these correspondences are transferred to depth images to be used...
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