Titlebook: Computer Vision, Graphics, and Image Processing; ICVGIP 2016 Satellit Snehasis Mukherjee,Suvadip Mukherjee,Santanu Chaud Conference proceed

Strength

Recursive Structure from Motionke the set of images and estimate the scene geometry and camera positions either using incremental algorithms or the global algorithms and do the refinement process [.] to reduce the reprojection error. In this work it is assumed that we don’t have complete image set at the start of the reconstructi

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visceral-fat

Brain Tumor Segmentation from Multimodal MR Images Using Rough Setstumors in images. Defining a precise boundary for a tumor is essential for diagnosis and treatment of patients. Rough set theory, an extension of classical set theory, deals with the vagueness of data by determining the boundary region of a set. The aim of this work is to explore the possibility and

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A Text Recognition Augmented Deep Learning Approach for Logo Identificationt in most natural images logos are accompanied with associated text. Therefore, we address the problem of logo recognition by first detecting and isolating text of varying color, font size and orientation in the input image using affine invariant maximally stable extremal regions (MSERs). Using an o

endarterectomy

High Frame Rate Real-Time Scene Change Detection Systemlete industrial vision system as well as automated video surveillance system - for automatic scene analysis, monitoring, and generation of alerts based on relevant changes in a video stream. Therefore, in addition to being accurate and robust, a successful scene change detection system must also be

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Calculus

Eigen Domain Transformation for Soft-Margin Multiple Feature-Kernel Learning for Surveillance Face Rers over past few decades to achieve an moderately high accuracy under controlled environments. In order to achieve such an accuracy for FR under surveillance scenario has been proved to be a major hurdle in this area of research, mainly due to the difference in resolution, contrast, illumination an

舔食

A Beta Distribution Based Novel Scheme for Detection of Changes in Crowd Motionn the crowd behaviour demarcates one activity or event from another. Thus, change detection is a fundamental step that enables the subsequent characterisation of the activities and analysis of the transition from one state to another. Proposed work deals with high density crowd. Global motion is an

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