Incremental and Transitive Discrete Rotations
Bertrand Nouvel (LIP), Eric Remila (LIP)

TL;DR
This paper presents an efficient, exact incremental algorithm for discrete image rotations that uses only integer arithmetic and analyzes the step function's discontinuities for optimal performance.
Contribution
It introduces a novel incremental discretized rotation algorithm that avoids trigonometric computations and leverages step function analysis for speed and accuracy.
Findings
Algorithm computes intermediate rotations efficiently.
Uses only integer arithmetic, no sine or cosine calculations.
Provides a complete description of the incremental rotation process.
Abstract
A discrete rotation algorithm can be apprehended as a parametric application from to , whose resulting permutation ``looks like'' the map induced by an Euclidean rotation. For this kind of algorithm, to be incremental means to compute successively all the intermediate rotate d copies of an image for angles in-between 0 and a destination angle. The di scretized rotation consists in the composition of an Euclidean rotation with a discretization; the aim of this article is to describe an algorithm whic h computes incrementally a discretized rotation. The suggested method uses o nly integer arithmetic and does not compute any sine nor any cosine. More pr ecisely, its design relies on the analysis of the discretized rotation as a step function: the precise description of the discontinuities turns to be th e key ingredient that will make the resulting procedure…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDigital Image Processing Techniques · Medical Image Segmentation Techniques · Image and Object Detection Techniques
