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A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

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Published on: January 18, 2020

Partial rotation-invariant pattern matching and face recognition with a joint transform correlator.

S Chang, S A Boothroyd, J Chrostowski

|April 10, 1997

Summary

This study introduces circular-harmonic (CH) images for rotationally invariant pattern recognition. Filtering these images enables partial or full rotation invariance, demonstrated for human face recognition.

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

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Published on: October 18, 2024

Area of Science:

Computer Vision
Image Processing
Pattern Recognition

Background:

Traditional pattern recognition methods struggle with rotational variations.
Achieving rotation invariance is crucial for robust object identification.

Purpose of the Study:

To introduce and evaluate circular-harmonic (CH) images for rotationally invariant pattern recognition.
To demonstrate the effectiveness of CH images in recognizing objects with partial rotational invariance.

Main Methods:

Utilized circular-harmonic (CH) components derived from images in polar coordinates.
Constructed a two-dimensional CH(mr) image space incorporating the radial variable r.
Applied various filters (narrow-pass, all-pass, low-pass) to CH(mr) images.
Conducted numerical simulations and optical experiments using a joint transform correlator.

Main Results:

Narrow-pass filtering yielded full rotation invariance.
All-pass filtering resulted in no rotational invariance (original image).
Low-pass filtering produced partial rotation invariance by combining multiple circular harmonics.
Successfully demonstrated partial-rotation-invariant recognition of human face images.

Conclusions:

Circular-harmonic (CH) images offer a viable approach for rotationally invariant pattern recognition.
The filtering strategy applied to CH images allows for tunable levels of rotational invariance.
The method shows promise for applications like human face recognition.