arXiv Open Access 2024

Special Unitary Parameterized Estimators of Rotation

Akshay Chandrasekhar
Lihat Sumber

Abstrak

This paper revisits the topic of rotation estimation through the lens of special unitary matrices. We begin by reformulating Wahba's problem using $SU(2)$ to derive multiple solutions that yield linear constraints on corresponding quaternion parameters. We then explore applications of these constraints by formulating efficient methods for related problems. Finally, from this theoretical foundation, we propose two novel continuous representations for learning rotations in neural networks. Extensive experiments validate the effectiveness of the proposed methods.

Topik & Kata Kunci

Penulis (1)

A

Akshay Chandrasekhar

Format Sitasi

Chandrasekhar, A. (2024). Special Unitary Parameterized Estimators of Rotation. https://arxiv.org/abs/2411.13109

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓