Bibliograph

Research in Shape Modeling, Los Angeles, July 2013, edited by Kathryn Leonard, Sibel Tari

Type

Label

Research in Shape Modeling, Los Angeles, July 2013, edited by Kathryn Leonard, Sibel Tari

Language

eng

resource.imageBitDepth

Literary Form

non fiction

Main title

Research in Shape Modeling

Medium

electronic resource

Oclc number

910553274

Responsibility statement

edited by Kathryn Leonard, Sibel Tari

Series statement

Association for Women in Mathematics Series,, 1, 2364-5733

Sub title

Los Angeles, July 2013

Summary

Presenting the latest research from the growing field of mathematical shape analysis, this volume is comprised of the collaborations of participants of the Women in Shape Modeling (WiSh) workshop, held at UCLA's Institute for Pure and Applied Mathematics in July 2013. Topics include: Simultaneous spectral and spatial analysis of shape Dimensionality reduction and visualization of data in tree-spaces, such as classes of anatomical trees like airways and blood vessels Geometric shape segmentation, exploring shape segmentation from a Gestalt perspective, using information from the Blum medial axis of edge fragments in an image Representing and editing self-similar details on 3D shapes, studying shape deformation and editing techniques Several chapters in the book directly address the problem of continuous measures of context-dependent nearness and right shape models. Medical and biological applications have been a major source of motivation in shape research, and key topics are examined here in detail. All together, the chapters in the book cover an entire spectrum in shape analysis starting from raw images and ending with shape-related decisions

Table Of Contents

Automatic prior shape selection for image segmentation -- A scalable fluctuating distance field: an application to tumor shape analysis -- Part-aware distance fields for easy inbetweening in arbitrary dimensions -- A biomechanical model of cortical folding -- Quantification and visualization of variation in anatomical trees -- Skeleton-based recognition of shapes in images via longest path matching -- Revisiting skeletons from natural images.-Towards automated filtering or the medial axis using the scale axis transform -- Identifying perceptually salient features on 2D shapes

Contributor

Subject