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The projection method of solving a set of linear equations was used to restore linearly degraded images. The advantages of this method are that it always converges, it can readily make use of a priori information about the image, and it does not need excessive computation time. Experimental results indicate that this method could potentially achieve… (More)
We present a linear algorithm for determining the three-dimensional rotation and translation of a rigid object from two time-sequential perspective views using point correspondences. The algorithm is different from existing ones in two respects. First, various measures for combating noise are incorporated. Second, the algorithm is unified in the sense that,… (More)
We demonstrate by a computer simulation example that singular value decomposition is a powerful tool for restoring noisy linearly degraded images. We also discuss a way of reducing the computation time requirement.
We describe a direct-matching approach to determining motion of a rigid body from two time-sequential perspective views. The method does not require finding feature correspondences. It is valid under the following assumptions: Brightness constancy--the brightness of an image point corresponding to a fixed object point does not change after motion. The… (More)
Image processing can be broadly defined as the manipulation of signals which are inherently multidimensional. The most common such signals are photographs and video sequences. The goals of processing or manipulation can be (i) compression for storage or transmission; (ii) enhancement or restoration; (iii) analysis, recognition, and understanding; or (iv)… (More)
1. ABSTRACT An image retrieval system is a computer system for browsing, searching and retrieving images from a large database of digital images. Given a textual query in traditional text based image retrieval (TBIR),relevant images are to be re ranked using visual features after the initial text based image search. In this paper, we propose a new bag based… (More)