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This paper addresses the evaluation of a new disparity map computing algorithm characterized by a novel spurious removal strategy. Using this algorithm we eliminate a high percentage of wrong values with a low performance penalty. When testing images, incorrect percentages were reduced by 65% and 85%. This algorithm has been designed for scalable architectures with massive parallel processing elements...
Nowadays, software tools to test applications in several areas have been developed by different research groups. However, to our knowledge, no tools to make parameterized unity tests with images can be found in the literature. In this work a prototype tool called ITVT (Image Testing and Visualization Tool) has been developed, that allows for performing parameterized unity tests and visualization of...
Efficient and accurate fitting of active appearance models (AAM) is a key requirement for many applications. The most efficient fitting algorithm today is inverse compositional image alignment (ICIA). While ICIA is extremely fast, it is also known to have a small convergence radius. Convergence is especially bad when training and testing images differ strongly, as in multi-person AAMs. We describe...
Face recognition with unknown, partial distortion and occlusion is a practical problem, and has a wide range of applications, including security and multimedia information retrieval. The authors present a new approach to face recognition subject to unknown, partial distortion and occlusion. The new approach is based on a probabilistic decision-based neural network, enhanced by a statistical method...
Noise is ubiquitous in real life and changes image acquisition and processing characteristics in an uncontrolled manner. Highly sophisticated image processing algorithms developed for clean images often malfunction when they are used for noisy images. For example, hidden Markov Gauss mixture models (HMGMM) have been shown to perform well in image segmentation applications, but they have also proved...
This paper presents algorithms for estimating parameters that characterize weak levels of printer banding in complex images. Flat field test images are typically used as test patterns for banding evaluation; however, the images of this study contain complex image content to demonstrate the algorithm's robustness and extend the utility of these defect characterization methods. The test images are from...
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