UC Home > Departments > College of Engineering > Computer Science and Software Engineering  

See Also

• Technical Reports
• PhD Theses
• Masters Theses
• Honours Reports

MAST 02/07

Moment Based Painterly Rendering Using Connected Colour Components

Mohammad Obaid
Department of Computer Science
University of Canterbury

Abstract

Research and development of Non-Photorealistic Rendering algorithms has recently moved towards the use of computer vision algorithms to extract image features. The feature representation capabilities of image moments could be used eectively for the selection of brush-stroke characteristics for painterly-rendering applications. This technique is based on the estimation of local geometric features from the intensity distribution in small windowed images to obtain the brush size, color and direction. This thesis proposes an improvement of this method, by additionally extracting the connected components so that the adjacent regions of similar color are grouped for generating large and noticeable brush-stroke images. An iterative coarse-to- ne rendering algorithm is developed for painting regions of varying color frequencies. Improvements over the existing technique are discussed with several examples.