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Computer Vision

Computer Vision can be defined as a field that includes methods for acquiring, analysing, processing and understanding images. This concepts are used in many areas by which many of them were useful. Computer vision is also described as the enterprise of automating and integrating a wide range of processes and by the representations for vision perception. We offer the students of M.Tech, PhD and researchers on this topic called "Computer Vision".

S.No Project Titles Abstract
26 Robust three-dimensional vehicle reconstruction using cross-ratio invariance Abstract
27 Recognising human actions by analysing negative spaces Abstract
28 Introducing fuzzy decision stumps in boosting through the notion of neighbourhood Abstract
29 Measuring empirical discrepancy in image segmentation results Abstract
30 Curvelet transform-based technique for tracking of moving objects Abstract
31 Robust affine iterative closest point algorithm with bidirectional distance Abstract
32 Facial expression recognition based on geometric and optical flow features in colour image sequences Abstract
33 One class boundary method classifiers for application in a video-based fall detection system Abstract
34 Target detection for very high-frequency synthetic aperture radar ground surveillance Abstract
35 Fast tracking algorithm using modified potential function Abstract
36 Circle detection on images using learning automata Abstract
37 Camera parameters estimation in soccer scenes on the basis of points at infinity Abstract
38 Robust solution to three-dimensional pose estimation using composite extended Kalman observer and Kalman filter Abstract
39 Depth space partitioning for omni-stereo object tracking Abstract
40 Vanishing point detection in corridors: using hough transform and K-means clustering Abstract
41 Robust mean-shift tracking with corrected background-weighted histogram Abstract
42 Scale and orientation adaptive mean shift tracking Abstract
43 Multiview geometry in traditional vision and omnidirectional vision under the l∞-norm Abstract
44 Hierarchical stochastic fast search motion estimation algorithm Abstract
45 Evaluation of two-part algorithms for objects' depth estimation Abstract
46 Depth measurement using single camera with fixed camera parameters Abstract
47 Adaptive mean-shift for automated multi object tracking Abstract

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