Abstract-- This paper proposes an object classification framework based on a geometric grammar aimed for mobile robotic applications. The paper first discusses the geometric gramma...
The transmission of the large store of information contained in 3D medical data sets through limited capacity channels, is a critical procedure in many telemedicine applications. ...
Dimitrios Tzovaras, Michael G. Strintzis, Nikolaos...
This paper introduces a novel measure for object convexity using the recently introduced Multi-Scale Autoconvolution transform. The proposed measure is computationally efficient a...
Visual and auditory forms have some noticeable associations that can inspire similar cognitive and aesthetical experiences. This paper presents a study on the possibilities of app...
This paper presents a practical, high-quality, hardwareaccelerated volume rendering approach including scattering, environment mapping, and ambient occlusion. We examine the appli...