Abstract book (pdf) - ICPR 2010

09:00-11:10, Paper WeAT8.33
Parallel Algorithm of Two-Dimensional Discrete Cosine Transform based on Special Data Representation
Chicheva, Marina, Image Processing System Inst. of RAS
The paper is devoted to parallel approach efficiency research for two-dimensional discrete cosine transform. The algorithm
based on data representation in hypercompex algebra is proposed.
09:00-11:10, Paper WeAT8.34
Parallel Scales for More Accurate Displacement Estimation in Phase-Based Image Registration
Forsberg, Daniel, Linköping Univ.
Andersson, Mats, Linköping Univ.
Knutsson, Hans
Phase-based methods are commonly applied in image registration. When working with phase-difference methods only a
single scale is employed, although the algorithms are normally iterated over multiple scales, whereas phase-congruency
methods utilize the the phase from multiple scales simultaneously. This paper presents an extension to phase-difference
methods employing parallel scales to achieve more accurate displacements. Results are also presented clearly favouring
the use of parallel scales over single scale in more than 95% of the 120 tested cases.
09:00-11:10, Paper WeAT8.35
A Comprehensive Evaluation on Non-Deterministic Motion Estimation
Wu, Changzhu, Northwestern Pol. Univ.
Wang, Qing, Northwestern Pol. Univ.
When computing optical flow with region-based matching, very few of them can be reliably obtained, especially for the
high-contrast areas or those with little texture. Instead of using a single pixel from the reference frame, non-deterministic
motion utilizes multiple pixels within a neighborhood to represent the corresponding pixel in the current frame. Although
remarkable improvement has been made with this method, the weight associated to each reference pixel is quite sensitive
to the selection of its standard deviation. To address this issue, a dual probability is presented in this paper. Intuitively, it
enhances those weights of pixels that are more similar to its counterpart in the current frame, while suppressing the rest
of them. Experimental results show that the proposed method is effective to deal with intense motion and occlusion, especially
in the case of reducing the adverse impact of noise.
09:00-11:10, Paper WeAT8.36
A Full-View Spherical Image Format
Li, Shigang, Faculty of Engineering
Hai, Ying, Tottori Univ.
This paper proposes a full-view spherical image format which is based on the geodesic division of a sphere. In comparison
with the conventional 3D array representation which consists of five parallelograms, the proposed spherical image format
is a simple 2D array representation. The algorithms of finding the neighboring pixels given a pixel of a spherical image
and mapping between spherical coordinate and spherical image pixel are given also.
09:00-11:10, Paper WeAT8.37
Shift-Map Image Registration
Svärm, Linus, Lund Univ.
Strandmark, Petter, Lund Univ.
Shift-map image processing is a new framework based on energy minimization over a large space of labels. The optimization
utilizes alpha-expansion moves and iterative refinement over a Gaussian pyramid. In this paper we extend the range
of applications to image registration. To do this, new data and smoothness terms have to be constructed. We note a great
improvement when we measure pixel similarities with the dense DAISY descriptor. The main contributions of this paper
are: * The extension of the shift-map framework to include image registration. We register images for which SIFT only
provides 3 correct matches. * A publicly available implementation of shift-map image processing (e.g. in painting, registration).
We conclude by comparing shift-map registration to a recent method for optical flow with favorable results.
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