A motion control strategy based on multi-source heterogeneous motion information fusion and motion decoupling parallel washout algorithm (WA) is proposed for the control of a rehabilitation robot ...

Our Structure from Motion approach, named Graph Structure from Motion (GraphSfM), is aimed at large scale 3D reconstruction. Besides, we aimed at exploring the computation ability of computer and ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

Hefei National Research Center for Physical Sciences at the Microscale and CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, ...

Abstract: Structure from motion (SfM) is an important task in computer vision. Two-view SfM, which means SfM from a pair of images, is the foundation of incremental SfM methods and is quite useful in ...

A subset of the true optical flow can be extracted by constructing a vector field that represents image gradients and then tracking vectors in this vector field. This pseudo-flow (p-flow) subset ...

Curious from birth, Fiona is a music writer, researcher, and cultural theorist based in the UK. She studied her Bachelor of Music in London, specializing in audiovisual practices, and progressed to a ...

Abstract: Structure from motion (SfM) is the concept of estimating both sensor pose and 3-D scene structure from input images. The difficulty with synthetic aperture radar (SAR) SfM stems from the ...

Aiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, California 92093 , United States Department of Chemistry and Biochemistry, University ...

Structure-from-motion (SfM) focuses on recovering camera positions and building 3D scenes from multiple images. This process is important for tasks like 3D reconstruction and novel view synthesis. A ...