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Updated: Jul 6, 2026

Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues

Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues

Published on: December 4, 2013

Rotation-invariant optical recognition of three-dimensional objects.

J J Esteve-Taboada, J García, C Ferreira

|March 21, 2008

Summary

This study introduces an automatic method for 3-D object recognition using fringe patterns. The technique achieves rotation invariance, enabling accurate identification of objects from different viewpoints.

Area of Science:

Computer Vision
Optics
Pattern Recognition

Background:

Three-dimensional (3-D) object recognition is crucial in various fields.
Achieving rotation invariance in 3-D object recognition remains a challenge.
Existing methods often require complex setups or extensive computation.

Purpose of the Study:

To propose an automatic method for rotation-invariant 3-D object recognition.
To utilize 3-D information from projected fringe patterns.
To demonstrate optical implementation for practical application.

Main Methods:

Projecting a grating onto an object's surface to obtain a deformed fringe pattern.
Encoding circular harmonic expansion components within the fringe pattern for rotation invariance.

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Three-Dimensional Mapping of the Rotation of Interactive Virtual Objects with Eye-Tracking Data

Three-Dimensional Mapping of the Rotation of Interactive Virtual Objects with Eye-Tracking Data

Published on: October 18, 2024

Related Experiment Videos

Last Updated: Jul 6, 2026

Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues

Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues

Published on: December 4, 2013

Three-Dimensional Mapping of the Rotation of Interactive Virtual Objects with Eye-Tracking Data

Three-Dimensional Mapping of the Rotation of Interactive Virtual Objects with Eye-Tracking Data

Published on: October 18, 2024

Optically implementing the recognition system using a two-cycle joint transform correlator.

Main Results:

The proposed method successfully achieves rotation invariance for object recognition around the line of sight.
Experimental results validate the utility and effectiveness of the developed technique.
The optical setup is demonstrated to be constructible with simple equipment.

Conclusions:

The developed automatic method offers a practical solution for rotation-invariant 3-D object recognition.
The use of fringe patterns and circular harmonic expansion provides a robust approach.
The system's simplicity and effectiveness make it suitable for real-world applications.