Advanced image reconstruction and visualization algorithms for CERN ALICE high energy physics experiment

Visual data stereoscopic 3D reconstruction is an important challenge in the LHC ALICE detector experiment. Stereoscopic visualization of 3D data is also an important subject of photonics in general. In this paper we have proposed several solutions enabling effective perception based stereoscopic visualization of data provided by detectors in high energy physics experiments.

[1]  Joan Adler,et al.  3d visualization of atomistic simulations on every desktop , 2013 .

[2]  Richard Szeliski,et al.  A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms , 2001, International Journal of Computer Vision.

[3]  D Marr,et al.  A computational theory of human stereo vision. , 1979, Proceedings of the Royal Society of London. Series B, Biological sciences.

[4]  S. Zabunov.  Stereo 3-D Vision in Teaching Physics , 2012 .

[5]  James E. Cutting,et al.  Chapter 3 – Perceiving Layout and Knowing Distances: The Integration, Relative Potency, and Contextual Use of Different Information about Depth* , 1995 .

[6]  Hans-Peter Seidel,et al.  A perceptual model for disparity , 2011, ACM Trans. Graph..

[7]  W E Grimson,et al.  A computer implementation of a theory of human stereo vision. , 1981, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[8]  Yuukou Horita,et al.  Stereoscopic image quality prediction , 2009, 2009 International Workshop on Quality of Multimedia Experience.

[9]  A. Hamilton,et al.  Stereoscopic visualization in curved spacetime: seeing deep inside a black hole , 2010, 1012.4043.