NDLI: Semantically steered visual analysis of highly detailed morphometric shape spaces

Content Provider	IEEE Xplore Digital Library
Author	Hermann, M. Schunke, A.C. Klein, R.
Copyright Year	2011
Description	Author affiliation: Max-Planck-Institute of Evolutionary Biology Plön (Schunke, A.C.) \|\| Institute of Computer Science II, University of Bonn (Hermann, M.; Klein, R.)
Abstract	A common technique in 3D shape analysis is to describe shape variability using a statistical deformation model (SDM). In contrast to the use of sparse landmark data for volume data this SDM is based on dense registrations of the input shapes. For a valuable exploration of the shape space in the setting of biological morphometrics we identified two prominent objectives for visual investigation. The first objective is to detect possible shape variations between anatomically different groups of individuals. The second is to integrate and exploit expert knowledge about relevant regions on the shapes. To meet the first objective, we advocate the use of dimensionality reduction methods combined with a parameterization defined on user specified classifications. This idea was already successfully applied in data-driven reflectance models and also turns out to be valuable in the context of biological morphometry, as it allows for intuitive exploration of shape variations. The second objective can be achieved by an appropriate weighted linear analysis which delivers a better approximation of shape variations in local neighbourhoods of a user defined region of interest. The methods were applied to real-world biological datasets of rodent mandibles and validated in cooperation with the MPI for Evolutionary Biology. For this purpose, we provide an interactive dynamic visualization of the shape space based on a custom GPU raycaster. A special feature of our implementation is that it builds the SDM directly on dense registrations of the volumes and does thereby not rely on a specific non-rigid registration method.
Starting Page	151
Ending Page	158
File Size	2099456
Page Count	8
File Format	PDF
ISBN	9781467300032
e-ISBN	9781467300049
DOI	10.1109/BioVis.2011.6094060
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Deformable models Visualization Shape Computational modeling Semantics Computer Graphics [I.3.8]: Applications Space exploration Principal component analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Interactive streamline exploration and manipulation using deformation

Epithelial cell reconstruction and visualization of the developing Drosophila wing imaginal disc

Interactive Visualization and Analysis of Network and Sensor Data on Mobile Devices

VFire: Virtual Fire in Realistic Environments

Shell PCA: Statistical Shape Modelling in Shell Space

3D Isometric shape correspondence

A Novel Visualization System for Expressive Facial Motion Data Exploration

Heterogeneity-based guidance for exploring multiscale data in systems biology

3D object recognition using shape similiarity-based aspect graph

Semantically steered visual analysis of highly detailed morphometric shape spaces

Similar Documents

Interactive streamline exploration and manipulation using deformation

Epithelial cell reconstruction and visualization of the developing Drosophila wing imaginal disc

Interactive Visualization and Analysis of Network and Sensor Data on Mobile Devices

VFire: Virtual Fire in Realistic Environments

Shell PCA: Statistical Shape Modelling in Shell Space

3D Isometric shape correspondence

A Novel Visualization System for Expressive Facial Motion Data Exploration

Heterogeneity-based guidance for exploring multiscale data in systems biology

3D object recognition using shape similiarity-based aspect graph

Semantically steered visual analysis of highly detailed morphometric shape spaces