In this thesis,we propose a novel approach for automatic target image detection for morphing based on 3D textons and contrast. Given the source image consisting of human frontal face and training images having human and ...

Fast and accurate algorithms for background-foreground separation are an essential part of <p/>any video surveillance system. GMM (Gaussian Mixture Models) based object segmentation <p/>methods give accurate results for ...

This thesis presents a model based approach for multi-resolution fusion of the satellite images. Given a high resolution panchromatic (Pan) image and a low spatial but high spectral resolution multi spectral (MS) image ...

Usually, digital image of scene is not same as actual; it may degrade because of environment, camera focus, lightening conditions, etc. Segmentation is the key step before performing other operations like description, ...

Action recognition is a central problem in computer vision which is also known as action recognition or object detection. Action is any meaningful movement of the human and it is used to convey information or to interact ...

Stereo vision is based on the process of obtaining the disparity from a left and a right view of a scene. By obtaining the disparity, we find the distance (depth) of each object point from the camera so that we can construct ...

In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high feature similarities to the query may be very ...

Locality Preserving Projection (LPP) is a recently proposed approach for dimensionality reduction that preserves the neighbourhood information and obtains a subspace that best detects the essential data manifold structure. ...

Image segmentation is the process of partitioning a image into different regions or groups based on some characteristics like color, texture, motion or shape etc. Segmentation is an intermediate process for a large number ...

Multiresolution fusion refers to the enhancement of low spatial resolution (LR) of Multispectral (MS) images to that of Panchromatic (Pan ) image without compro- mising on the spectral details. Many of the present day ...