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We present a novel method for computing depth of field and geometry from a single 2D image. This technique, unlike the existing ones measures the absolute depth of field and distances in the scene from single image only using the concept of triangulation. This algorithm requires minimum inputs such as camera height, camera pitch angle and camera field of view for computing the depth of field and 3D...
In the recent years, 3D tracking has gained attention due to the perforation of powerful computers and the increasing interest in tracking applications. One of the most common tracking algorithms used is the Kalman filter. Kalman filter is a linear estimator that is based on approximating system's dynamics using Gaussian probability distribution. In this paper, we provide a detailed evaluation of...
Depth map estimation plays the fundamental role in 3D shape. This paper deals with one aspect of the depth map estimation, i.e., the calculation of optimum window size which is required for focus measure computation. The variation in windows size correspondingly results in variation of depth maps. Therefore, it is important to choose the correct window size for depth map computation. This paper presents...
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