Stavri G. Nikolov

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What is image fusion? Image fusion is the process of combining information from two or more images of a scene into a single composite image that is more informative and is more suitable for visual perception or computer processing. The objective in image fusion is to reduce uncertainty and minimize redundancy in the output while maximizing relevant(More)
A number of pixel-based image fusion algorithms (using averaging, contrast pyramids, the discrete wavelet transform and the dualtree complex wavelet transform (DT-CWT) to perform fusion) are reviewed and compared with a novel region-based image fusion method which facilitates increased flexibility with the definition of a variety of fusion rules. The DT-CWT(More)
– This paper focuses on a novel region-based image fusion method which facilitates increased flexibility with the definition of a variety of fusion rules. A dual-tree complex wavelet transform (DT-CWT) is used to segment the features of the input images, either jointly or separately, to produce a region map. Characteristics of each region are calculated and(More)
How do we visually encode facial expressions? Is this done by viewpoint-dependent mechanisms representing facial expressions as two-dimensional templates or do we build more complex viewpoint independent three-dimensional representations? Recent facial adaptation techniques offer a powerful way to address these questions. Prolonged viewing of a stimulus(More)
This paper investigates the impact of pixel-level fusion of videos from visible (VIZ) and infrared (IR) surveillance cameras on object tracking performance, as compared to tracking in single modality videos. Tracking has been accomplished by means of a particle filter which fuses a colour cue and the structural similarity measure (SSIM). The highest(More)
This paper investigates how the object tracking performance is affected by the fusion quality of videos from visible (VIZ) and infrared (IR) surveillance cameras, as compared to tracking in single modality videos. The videos have been fused using the simple averaging, and various multiresolution techniques.Tracking has been accomplished by means of a(More)
This paper describes a novel gaze-contingent display (GCD) using texture mapping and OpenGL. This new system has a number of key features: (a) it is platform independent, i.e. it runs on different computers and under different operating systems; (b) it is eyetracker independent, since it provides an interactive focus+context display that can be easily(More)
The prevalence of image fusion---the combination of images of different modalities, such as visible and infrared radiation---has increased the demand for accurate methods of image-quality assessment. The current study used a signal-detection paradigm, identifying the presence or absence of a target in briefly presented images followed by an energy mask,(More)
The purpose of the AMDF Cluster is to investigate the benefits that data fusion, and related techniques, may bring to future military Intelligence Surveillance Target Acquisition and Reconnaissance (ISTAR) systems. In the course of this work it is intended to showcase the practical application of some of the best multi-dimensional fusion research in the(More)