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Low cost RGB-D sensors such as the Microsoft Kinect have enabled the use of depth data along with color images. In this work, we propose a multi-modal approach to address the problem of removal of fences/occlusions from images captured using a Kinect camera. We also perform depth completion by fusing data from multiple recorded depth maps affected by occlusions. The availability of aligned image and...
In real-world scenarios, images or videos taken at public places using inexpensive low-resolution cameras, such as smartphones are also often degraded by the presence of occlusions such as fences/barricades. Finer details in images captured using such low-end equipment are lost due to blurring and under-sampling. Compounding this problem is missing data due to the presence of an intervening occlusion...
In this paper, we present a novel automatic image slideshow system that explores a new medium between images and music. It can be regarded as a new image selection and slideshow composition criterion. Based on the idea of ``hearing colors, seeing sounds" from the art of music visualization, equal importance is assigned to image features and audio properties for better synchronization. We minimize...
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