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Related Experiment Video

Updated: Jul 7, 2026

Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

Affine-similar shape retrieval: application to multiview 3-D object recognition.

S Abbasi1, F Mokhtarian

  • 1Centre for Vision Speech and Signal Processing, University of Surrey, Guildford, Surrey, UK.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 6, 2008
PubMed
Summary

This study shows that Curvature Scale Space (CSS) image contours can effectively represent 3-D objects from limited views. This method enables robust 3-D object recognition even with affine transformations.

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Area of Science:

  • Computer Vision
  • Image Processing
  • Pattern Recognition

Background:

  • Representing 3-D objects using a limited set of standard views is crucial for efficient object identification.
  • Curvature Scale Space (CSS) image contours are a standardized method for 2-D shape representation, effective under similarity transforms.

Purpose of the Study:

  • To investigate the feasibility of representing 3-D objects using a few standard 2-D views.
  • To evaluate the effectiveness of Curvature Scale Space (CSS) contours for 3-D object recognition under affine transformations.

Main Methods:

  • Object boundaries are treated as 2-D shapes and represented by maxima locations in their CSS image contours.
  • The study analyzes the impact of affine transformations on CSS maxima locations.
  • A shape-based retrieval system is applied to multiview 3-D object representation and recognition using silhouette contours of 18 aircraft models.

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Main Results:

  • The locations of CSS image maxima exhibit stability even under significant affine transformations.
  • The proposed system demonstrated robust and efficient 3-D free-form object recognition using multiview representation.
  • The CSS representation proved effective for identifying objects from random views using stored standard view descriptions.

Conclusions:

  • Multiview 3-D object representation and recognition can be reliably achieved using the Curvature Scale Space (CSS) method.
  • The CSS representation is a viable technique for handling affine transformations in 3-D object recognition tasks.
  • This approach offers a robust solution for shape-based retrieval in large image databases.