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Invertible image representation methods (transforms) are routinely employed as low-level image processing operations based on which feature extraction and recognition algorithms are developed. Most transforms in current use (e.g. Fourier,…

Computer Vision and Pattern Recognition · Computer Science 2016-01-20 Soheil Kolouri , Se Rim Park , Gustavo K. Rohde

We show that if a Lagrangian is invariant under a transformation (with the invariance defined in the standard manner), then the equations of motion obtained from it maintain their form under the transformation. We also show that the…

Classical Physics · Physics 2017-05-25 G. F. Torres del Castillo , A. Moreno-Ruiz

Interferometric closure invariants encode calibration-independent details of an object's morphology. Excepting simple cases, a direct backward transformation from closure invariants to morphologies is not well established. We demonstrate…

Instrumentation and Methods for Astrophysics · Physics 2024-08-27 Nithyanandan Thyagarajan , Lucas Hoefs , O. Ivy Wong

Planning trajectories for nonholonomic systems is difficult and computationally expensive. When facing unexpected events, it may therefore be preferable to deform in some way the initially planned trajectory rather than to re-plan entirely…

Robotics · Computer Science 2011-05-31 Quang-Cuong Pham

Affine transformations in Euclidean space generates a correspondence between integrable systems on cotangent bundles to the sphere, ellipsoid and hyperboloid embedded in $R^n$. Using this correspondence and the suitable coupling constant…

Exactly Solvable and Integrable Systems · Physics 2022-11-17 A. V. Tsiganov

We compare the Serret-Frenet frame with a {\em relatively parallel adapted frame} (RPAF) introduced by Bishop to parametrize $W^{2,2}$-curves. Next, we derive the geometric invariants, curvature and torsion, with the RPAF associated to the…

Analysis of PDEs · Mathematics 2023-01-10 Giulia Bevilacqua , Luca Lussardi , Alfredo Marzocchi

Dynamic patterns are characterized by complex spatial and motion patterns. Understanding dynamic patterns requires a disentangled representational model that separates the factorial components. A commonly used model for dynamic patterns is…

Computer Vision and Pattern Recognition · Computer Science 2019-11-27 Jianwen Xie , Ruiqi Gao , Zilong Zheng , Song-Chun Zhu , Ying Nian Wu

Around 1923, Elie Cartan introduced affine connections on manifolds and definedthe main related concepts: torsion, curvature, holonomy groups. He discussed applications of these concepts in Classical and Relativistic Mechanics; in…

Differential Geometry · Mathematics 2014-02-03 Charles-Michel Marle

We examine the relationships between the differential invariants of objects and of their images under a surjective map. We analyze both the case when the underlying transformation group is projectable and hence induces an action on the…

Differential Geometry · Mathematics 2015-09-23 Irina A. Kogan , Peter J. Olver

Generalizing a definition by Kalra \cite{Kalra}, the purpose of this paper is to analyze cyclic frames in finite-dimensional Hilbert spaces. Cyclic frames form a subclass of the dynamical frames introduced and analyzed in detail by Aldroubi…

Functional Analysis · Mathematics 2025-08-26 Ole Christensen , Navneet Redhu , Niraj K. Shukla

We present a method for constructing all bounded rational motions that frame a space curve $\mathbf{r}(t)$. This means that the motion guides an orthogonal frame along the curve such that one frame axis is in direction of the curve tangent.…

Optimization and Control · Mathematics 2025-08-04 Hans-Peter Schröcker , Zbyněk Šír

Recently the general linear transformation for point rotation coordinate frames was considered. A distinguishing feature of the frame, in contrast to the Cartesian one, is the existence of the rotation axis at every point. The frame…

Optics · Physics 2009-01-28 Boris V. Gisin

Within the frames of the analytical mechanics the method of the description of dynamics of nonequilibrium systems of potentially interacting elements is develops. The method is based on an opportunity of representation of nonequilibrium…

General Physics · Physics 2012-05-14 V. M. Somsikov

This paper investigates scalable frame in ${\mathbb R}^n$. We define the reduced diagram matrix of a frame and use it to classify scalability of the frame under some conditions. We give a new approach to the scaling problem by breaking the…

Functional Analysis · Mathematics 2022-11-22 Peter G. Casazza , Laura De Carli , Tin T. Tran

The concept of dynamical movement primitives (DMPs) has become popular for modeling of motion, commonly applied to robots. This paper presents a framework that allows a robot operator to adjust DMPs in an intuitive way. Given a generated…

Robotics · Computer Science 2019-05-28 Martin Karlsson , Anders Robertsson , Rolf Johansson

This article proposes a novel approach for determining exact solutions to nonlinear ordinary differential equations. The recommended iterative method provides the solution via a rapidly converging series that readily approaches a closed…

Analysis of PDEs · Mathematics 2025-07-15 Prakash Kumar Das

Frames for $\R^n$ can be thought of as redundant or linearly dependent coordinate systems, and have important applications in such areas as signal processing, data compression, and sampling theory. The word "frame" has a different meaning…

Functional Analysis · Mathematics 2012-09-26 Daniel Freeman , Ryan Hotovy , Eileen Martin

The f-invariant is a higher version of the e-invariant that takes values in the divided congruences between modular forms; it can be formulated as an elliptic genus of manifolds with corners of codimension two. In this thesis, we develop a…

Differential Geometry · Mathematics 2009-09-22 Hanno von Bodecker

We introduce a notion of rough paths on embedded submanifolds and demonstrate that this class of rough paths is natural. On the way we develop a notion of rough integration and an efficient and intrinsic theory of rough differential…

Probability · Mathematics 2017-05-17 Thomas Cass , Bruce K. Driver , Christian Litterer

Forecasting vehicular motions in autonomous driving requires a deep understanding of agent interactions and the preservation of motion equivariance under Euclidean geometric transformations. Traditional models often lack the sophistication…

Robotics · Computer Science 2025-08-05 Yuping Wang , Jier Chen