Evidence map›Paper›PMID 24910467›Full record

ArticleComputer aided design2014

A Compact Shape Descriptor for Triangular Surface Meshes.

Zhanheng Gao, Zeyun Yu, Xiaoli Pang

Abstract read
In one paragraph

Article in Computer aided design, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. 3D Generative Model Latent Disentanglement via Local Eigenprojection.Computer graphics forum : journal of the European Association for Computer Graphics · 2023
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Zhanheng GaoCollege of Computer Science and Technology, Jilin University, China.
Zeyun YuDepartment of Computer Science, University of Wisconsin at Milwaukee, USA.
Xiaoli PangThe First Hospital of Jilin University, China.

Funding

Image-Based Modeling of Ca2+ Signaling in Ventricular MyocytesR15HL103497 · NHLBI · UNIVERSITY OF WISCONSIN MILWAUKEE · PI YU, ZEYUN · 2010 to 2010
$364k
NHLBI NIH HHS R15 HL103497
6 · The paper itself

Abstract

Three-dimensional shape-based descriptors have been widely used in object recognition and database retrieval. In the current work, we present a novel method called compact Shape-DNA (cShape-DNA) to describe the shape of a triangular surface mesh. While the original Shape-DNA technique provides an effective and isometric-invariant descriptor for surface shapes, the number of eigenvalues used is typically large. To further reduce the space and time consumptions, especially for large-scale database applications, it is of great interest to find a more compact way to describe an arbitrary surface shape. In the present approach, the standard Shape-DNA is first computed from the given mesh and then processed by surface area-based normalization and line subtraction. The proposed cShape-DNA descriptor is composed of some low frequencies of the discrete Fourier transform of the processed Shape-DNA. Several experiments are shown to illustrate the effectiveness and efficiency of the cShape-DNA method on 3D shape analysis, particularly on shape comparison and classification.

Identifiers

PMID24910467
PMCPMC4041874

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.