Inexpensive and easy-to-use linear and area-array scanners have frequently substituted as colorimeters and densitometers for low-frequency (i.e., large area) hard copy image measurement. Increasingly, scanners are also being used for high spatial frequency, image microstructure measurements, which were previously reserved for high performance microdensitometers. In this paper we address charact...

We examine recent concerns that averaged learning curves can present a distorted picture of individual learning. Analyses of practice curve data from a range of paradigms demonstrate that such concerns are well founded for fits of power and exponential functions when the arithmetic average is computed over participants. We also demonstrate that geometric averaging over participants does not, in...

We initiate the study of low-distortion finite metric embeddings in multi-class (and multi-label) classification where (i) both the space of input instances and the space of output classes have combinatorial metric structure, and (ii) the concepts we wish to learn are low-distortion embeddings. We develop new geometric techniques and prove strong learning lower bounds. These provable limits hol...

Perspective distortion occurs due to the perspective projection of 3D scene on a 2D surface. Correcting the distortion of a single image without losing any desired information is one of the challenging task in the field of Computer Vision. We consider the problem of estimating perspective distortion from a single still image of an unstructured environment and to make perspective correction whic...

Our dependence on digital media continues to grow and therefore finding competent ways of storing and conveying these large amounts of data has become a major concern. The technique of image compression has then become very essential and highly applicable. In this paper, the performance of an efficient image coding method based on Geometric Wavelets that divides the desired image using a recurs...

A geometric framework for finding intrinsic correspondence between animated 3D faces is presented. We model facial expressions as isometries of the facial surface and find the correspondence between two faces as the minimum-distortion mapping. Generalized multidimensional scaling is used for this goal. We apply our approach to texture mapping onto 3D video, expression exaggeration and morphing ...

The affine puzzle problem can be formulated as follows: Given a binary image of an object (the template) and another binary image (the observation) containing the fragments of the template, we want to establish the geometric correspondence between these images which reconstructs the complete template object from its parts. The overall distortion is a global nonlinear transformation with the fol...

116 Method for geometric distortion correction in fMRI based on three echo planar phase images L. Valkovic, C. Windischberger Institute of Measurement Science, Slovak Academy of Sciences, Dubravska cesta 9, 841 04, Bratislava, Slovakia MR Center of Excellence, Medical University of Vienna, Lazarettgasse 14, A-1090 Vienna, Austria Center for Biomedical Engineering and Physics, Medical University...

This paper describes a smart decision module for transmitting 3D meshes over QoS networks. Any 3D multiresolution compression techniques assume no loss during the transmission. Reliable transport protocol such as TCP seems to be an excellent solution. However, time sensive applications find TCP suffering long delay in the presence of network congestion. This motives to use unreliable transport ...

A powerful and popular approach for estimating radial lens distortion parameters is to use the fact that lines which are straight in the scene should be imaged as straight lines under the pinhole camera model. This paper revisits this problem using the division model to parameterise the lens distortion. This turns out to have significant advantages over the more conventional parameterisation, e...