Quaternion-based curves and surfaces for enhanced spatial motion generation using geometric algebra

Abstract This paper presents a novel framework for generating quaternion-based curves and surfaces, leveraging the power of geometric (Clifford) algebra to enhance spatial motion generation. The proposed approach enables the representation and manipulation of complex spatial motions in a mathematically rigorous and computationally efficient manner. Through the integration of quaternion algebra and geometric concepts, our method significantly expands the capabilities of traditional spatial modeling techniques, facilitating the creation of smooth and accurate motion representations. By extending traditional techniques to encompass both curves and surfaces, this framework overcomes the limitations of conventional spline (point)-based methods, particularly when dealing with non-polynomial and transcendental functions. The proposed approach simplifies the handling of rotational and translational motions, making it particularly well-suited for real-time applications in computer graphics, robotics, and virtual reality. The paper also comprehensively analyzes dual quaternion conjugation, exploring its different types and their applications in representing complex spatial transformations. We demonstrate the effectiveness of our approach by applying it to various simulation scenarios, showcasing its potential to contribute to the advancement of computer graphics, virtual reality, and related fields. The availability of open-source code and datasets further promotes the reproducibility and accessibility of our research, fostering a deeper understanding and exploration of quaternion-based spatial motion generation. Fig. 1: https://www.geogebra.org/m/rf8wsvxb DOI: 10.13140/RG.2.2.26124.53120. Fig. 2: https://maple.cloud/app/6278312446525440/lox+and+circle DOI: 10.13140/RG.2.2.12702.75840. Fig. 3: https://www.geogebra.org/3d/cs4ehrx9 DOI:10.13140/RG.2.2.14380.48008. Fig. 4: https://www.geogebra.org/m/hqttazwf DOI: 10.13140/RG.2.2.10605.60648. Fig. 5: https://www.geogebra.org/calculator/aqh7wvzg DOI: 10.13140/RG.2.2.21091.36644. Fig. 6: https://maple.cloud/app/6235802336624640/deformative+motion+dual+quat DOI:10.13140/RG.2.2.24446.80963. Fig. 7-8-9: https://github.com/Ferhajj/Matlab DOI: 10.13140/RG.2.2.16058.20167, DOI: 10.13140/RG.2.2.29479.97441, DOI: 10.13140/RG.2.2.22769.08804.

Authors

Institutions

Publication Details

Journal
The Visual Computer
Published
2025-06-09
DOI
https://doi.org/10.1007/s00371-025-04001-9
Citations
1
Primary Topic
Augmented Reality Applications
Type
article
Field-Weighted Citation Impact
1.28
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quaternion-based curves and surfaces for enhanced spatial motion generation using geometric algebra

Ferhat Taş
1 citations
The Visual Computer
Augmented Reality Applications
1.28
article

Quaternion-based curves and surfaces for enhanced spatial motion generation using geometric algebra

Ferhat Taş
article en
1 citations

Abstract

Abstract This paper presents a novel framework for generating quaternion-based curves and surfaces, leveraging the power of geometric (Clifford) algebra to enhance spatial motion generation. The proposed approach enables the representation and manipulation of complex spatial motions in a mathematically rigorous and computationally efficient manner. Through the integration of quaternion algebra and geometric concepts, our method significantly expands the capabilities of traditional spatial modeling techniques, facilitating the creation of smooth and accurate motion representations. By extending traditional techniques to encompass both curves and surfaces, this framework overcomes the limitations of conventional spline (point)-based methods, particularly when dealing with non-polynomial and transcendental functions. The proposed approach simplifies the handling of rotational and translational motions, making it particularly well-suited for real-time applications in computer graphics, robotics, and virtual reality. The paper also comprehensively analyzes dual quaternion conjugation, exploring its different types and their applications in representing complex spatial transformations. We demonstrate the effectiveness of our approach by applying it to various simulation scenarios, showcasing its potential to contribute to the advancement of computer graphics, virtual reality, and related fields. The availability of open-source code and datasets further promotes the reproducibility and accessibility of our research, fostering a deeper understanding and exploration of quaternion-based spatial motion generation. Fig. 1: https://www.geogebra.org/m/rf8wsvxb DOI: 10.13140/RG.2.2.26124.53120. Fig. 2: https://maple.cloud/app/6278312446525440/lox+and+circle DOI: 10.13140/RG.2.2.12702.75840. Fig. 3: https://www.geogebra.org/3d/cs4ehrx9 DOI:10.13140/RG.2.2.14380.48008. Fig. 4: https://www.geogebra.org/m/hqttazwf DOI: 10.13140/RG.2.2.10605.60648. Fig. 5: https://www.geogebra.org/calculator/aqh7wvzg DOI: 10.13140/RG.2.2.21091.36644. Fig. 6: https://maple.cloud/app/6235802336624640/deformative+motion+dual+quat DOI:10.13140/RG.2.2.24446.80963. Fig. 7-8-9: https://github.com/Ferhajj/Matlab DOI: 10.13140/RG.2.2.16058.20167, DOI: 10.13140/RG.2.2.29479.97441, DOI: 10.13140/RG.2.2.22769.08804.

The Visual ComputerVol. 41(12)
Fatih University (TR), Istanbul University (TR)
Openalex Percentile: Top 19%
Augmented Reality Applications
1.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.