Publication

3D Shape Similarity

2016
Student Projects

Abstract

Microsoft Kinect, Google's Project Tango and Lytro's light field camera are all examples of 3D depth sensing reaching the consumer market. As this technology becomes more widestream, new signal processing techniques are needed to exploit this data. Recent techniques in 3D shape similarity assesment present exciting opportunities to develop new algorithms in this area. The aim of this project is to create a tutorial to these techniques using an iPython notebook. Particular emphasis will be placed on an excellent review paper [1] and book [2]. Seneca, the Roman philosopher, said “While we teach, we learn,” and creating a tutorial on these topics is an excellent exercise to understand a complex subject that is at the heart of many modern computer vision techniques. [1] S. Biasotti et al "Recent Trends, Applications, and Perspectives in 3D Shape Similarity Assessment", 2015. [2] A. Bronstein, M. Bronstein, R. Kimmel "Numerical Geometry of Non-Rigid Shapes", 2008. LCAV1556050917

Official source

https://infoscience.epfl.ch/entities/publication/536b036f-a906-441e-96c7-4ef846db9fbc

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2016
Student Projects

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/536b036f-a906-441e-96c7-4ef846db9fbc

About this result

Related concepts (32)

Stereopsis

Stereopsis () is the component of depth perception retrieved through binocular vision. Stereopsis is not the only contributor to depth perception, but it is a major one. Binocular vision happens because each eye receives a different image because they are in slightly different positions on one's head (left and right eyes). These positional differences are referred to as "horizontal disparities" or, more generally, "binocular disparities". Disparities are processed in the visual cortex of the brain to yield depth perception.

Shape

A shape or figure is a graphical representation of an object or its external boundary, outline, or external surface, as opposed to other properties such as color, texture, or material type. A plane shape or plane figure is constrained to lie on a plane, in contrast to solid 3D shapes. A two-dimensional shape or two-dimensional figure (also: 2D shape or 2D figure) may lie on a more general curved surface (a non-Euclidean two-dimensional space). Lists of shapes Some simple shapes can be put into broad categories.

Computer vision

Computer vision tasks include methods for , , and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the forms of decisions. Understanding in this context means the transformation of visual images (the input to the retina in the human analog) into descriptions of the world that make sense to thought processes and can elicit appropriate action.

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3D Shape Similarity

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