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Related Experiment Video

Updated: Dec 30, 2025

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

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Entropy-based Correspondence Improvement of Interpolated Skeletal Models.

Liyun Tu^1,2, Jared Vicory², Shireen Elhabian³

¹Chongqing University, Shapingba, China.

Computer Vision and Image Understanding : CVIU

|January 28, 2020

Summary

Skeletal models improve shape analysis by enhancing correspondence. New interpolation methods refine these models, leading to more accurate statistical shape representations for applications like medical imaging.

Keywords:

Correspondence Skeletal Models Statistical Shape Analysis

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Construction of a Realistic, Whole-Body, Three-Dimensional Equine Skeletal Model using Computed Tomography Data

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Area of Science:

Medical imaging analysis
Computational anatomy
Statistical shape modeling

Background:

Statistical analysis of shape representations requires accurate correspondence across populations.
Point distribution models (PDMs) are commonly used for object boundary representation.
Skeletal representations (s-reps) offer richer information (width, direction, position) than boundary-based PDMs, potentially improving correspondence.

Purpose of the Study:

To develop and evaluate methods for improving correspondence in skeletal models.
To introduce continuous interpolation for discretely-sampled skeletal models.
To enhance statistical shape analysis through improved s-rep correspondence.

Main Methods:

Developed a continuous interpolation method for skeletal models based on medial structures.
Implemented a correspondence improvement technique by shifting skeletal samples using interpolation.
Evaluated correspondence using regularity and shape-feature population entropies on synthetic and real data.

Main Results:

The proposed interpolation method successfully refines skeletal models.
The correspondence improvement technique enhanced the alignment of s-rep models.
Optimized s-rep models and combined boundary-and-skeletal PDMs showed superior correspondence compared to boundary-only PDMs.
Demonstrated improved correspondence for s-rep models fitted to segmented lateral ventricles.

Conclusions:

Continuous interpolation of skeletal models significantly improves correspondence.
The developed methods enhance the accuracy of statistical shape analysis.
Skeletal representations offer advantages over boundary-based methods for shape analysis, particularly in medical applications.