Vishvjit K. Thakar

  • Citations Per Year
Learn More
Image registration is the process of transforming the different sets of data, which is acquired by sampling of the same scene or object at different times or from different perspectives, into one coordinate system. This paper presents an algorithm for recovering translation parameter from two images that differ by Rotation, Scaling, Transformation and(More)
The paper presents an algorithm for the discretetime output feedback sliding mode control of time delayed systems with uncertainty. The proposed algorithm is capable of handling systems with both state and input delay. The major advantage of the algorithm is that it is based on system output and hence more practical. Moreover, it reduces chattering by(More)
One of the important steps in image fusion is image registration. The process of determining the spatial transformation that maps the points in the target image to the points in the source image is known as image registration. Various image registration approaches can be classified as area, feature and transform domain based. Choice of approach depends on(More)
Memory management on which researchers are mainly focusing are the different techniques related to memory management i.e. garbage collection techniques, scheduling, real time system, user oriented design and many more. The major problem found out in memory management is processor and operating system delays. Here a new design of processor is discussed in(More)
The field of face recognition is increasingly investigated for access control, face based search, passport processing, security, surveillance, etc. applications. Performance of face recognition systems under constrained environment is quite satisfactory, but face recognition in unconstrained environment is yet a challenging problem due to key technical(More)
This paper presents Image matching and registration method that is invariant to scale, rotation, translation and illumination changes. The method is named as Scale Invariant Feature Transform (SIFT). This algorithm will detect and describe image features such as contours, points, corners etc. SIFT descriptors are the characteristic signature of the feature.(More)
This paper addresses end point detection algorithm, which is most important and critical part of speech recognition system. Different approaches for endpoint detections are explained and compared to Gujarati words. Speech end point detection is required to find speech segment edge points in the presence of the background noise. It isolates words from the(More)
One of the important steps in image fusion is image registration. The process of determining the spatial transformation that maps the points in the target image to the points in the source image is known as image registration. Various image registration approaches can be classified as area, feature and transform domain based. Choice of approach depends on(More)
The illumination variation is one of the challenging problems in Face Recognition under complex lighting conditions. Research community has evaluated performance of illumination normalization methods to some extent, yet there is a need to analyze them in depth using performance parameters like False Acceptance Rate, False Rejection Rate, Recognition Rate,(More)