This paper proposes a sequential importance sampling (SIS) particle filtering framework to track the human with overcoming the warping and low resolution. We utilize a foreground-based importance sampling mechanism for efficiently converge to the target distribution. We construct a tracking system with the fusion image likelihood, even the human raises the head. Furthermore, the two-space integ...

Current music score watermarking techniques either lack in robustness or in capacity: While embedding data into staff lines guarantees a certain payload, modulation of the staff lines’ thickness can be attacked using image processing techniques. Changing properties of musical symbols is more robust. But, the number of musical symbols limits the payload. Therefore, we propose the following metho...

This paper introduces integrating resamplers as an efficient method for image warping using a class of imaging-consistent reconstruction/restoration algorithms proposed in [Boult and Wolberg-1993]. Examples are given to show the use of the integrating resamplers described herein for two low-level computer vision applications. The first is geometric correction for images degraded by radial lens ...

The extraction of quantitative information regarding growth and deformation from series of image data is of significant importance in many fields of science and medicine. Imaging techniques such as MRI, CT and ultrasound provide a means to examine the morphology and in some cases metabolism of tissues. The registration of this image data between different time points after external loading, tre...

Image stitching algorithms often adopt the global transformation, such as homography, and work well for planar scenes or parallax free camera motions. However, these conditions are easily violated in practice. With casual camera motions, variable taken views, large depth change, or complex structures, it is a challenging task for stitching these images. The global transformation model often pro...

A method for image analysis, representation and re-synthesis is introduced. Unlike other schemes it is not pixel based but rather represents a picture as vector data, from which an altered version of the original image can be rendered. Representing an image as vector data allows performing operations such as zooming, retouching or colourising, avoiding common problems associated with pixel imag...

University of Glasgow Department of Electronics and Electrical Engineering Bachelor of Engineering by Jorge Garcia Bueno This project has been developed as an improvement which could be added to the actual computer vision algorithms. It is based on the original idea proposed and published by Rob Jenkins and Mike Burton about the power of the face averages in artificial recognition. The present ...

We address the problem of finding deformation between two images for the purpose of recognizing objects. The challenge is that discriminative features are often transformation-variant (e.g. histogram of oriented gradients, texture), while transformation-invariant features (e.g. intensity, color) are often not discriminative. We introduce the concept of attribute flow which explicitly models how...

This paper describes a system for sub-pixel registration of mask and opacified digital X-ray images so that the mask image can be accurately subtracted out from the opacified image. Our technique results in digital subtraction angiograms (DSAs) with fewer artifacts and better contrast.