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This paper addresses the task of dense non-rigid structure-from-motion (NRSfM) using multiple images. State-of-the-art methods to this problem are often hurdled by scalability, expensive computations, and noisy measurements. Further, recent…

Computer Vision and Pattern Recognition · Computer Science 2018-03-28 Suryansh Kumar , Anoop Cherian , Yuchao Dai , Hongdong Li

As a step toward analyzing second-harmonic generation (SHG) from crystalline Si nanospheres in glass, we develop an anisotropic bond model (ABM) that expresses SHG in terms of physically meaningful parameters and provides a detailed…

Optics · Physics 2008-04-25 E. J. Adles , D. E. Aspnes

A Statistic Vectorial Complex Ray Model (SVCRM) is proposed for the scattering of a plane wave by a non-spherical dielectric particle in three dimensions. This method counts the complex amplitudes of all rays arriving in a tiny box in the…

Optics · Physics 2024-03-21 Ruiping Yang , Bing Wei , Claude Rozé , Saïd Idlahcen , Kuan Ffang Ren

In this paper a low-drift monocular SLAM method is proposed targeting indoor scenarios, where monocular SLAM often fails due to the lack of textured surfaces. Our approach decouples rotation and translation estimation of the tracking…

Robotics · Computer Science 2020-08-06 Yanyan Li , Nikolas Brasch , Yida Wang , Nassir Navab , Federico Tombari

The addition of an optically absorptive layer to otherwise standard dielectric mirrors enables a set of laser direct writing nanostructuring methods that can add functionality to such mirrors while retaining their high reflectivity. These…

Optics · Physics 2023-04-05 Mario Vretenar , Jan Klaers

Next generation wound care technology capable of diagnosing wound parameters, promoting healthy cell growth and reducing pathogenic infections noninvasively will provide patients with an improved standard of care and an accelerated wound…

We introduce a new, highly sensitive, and simple heterodyne optical method for imaging individual nonfluorescent nanoclusters and nanocrystals. A 2 order of magnitude improvement of the signal is achieved compared to previous methods. This…

Optics · Physics 2007-05-23 Stéphane Berciaud , Laurent Cognet , Gerhard A Blab , Brahim Lounis

The technique of non-redundant masking (NRM) transforms a conventional telescope into an interferometric array. In practice, this provides a much better constrained point spread function than a filled aperture and thus higher resolution…

Instrumentation and Methods for Astrophysics · Physics 2017-11-29 Steph Sallum , Josh Eisner

Conventional nuclear magnetic resonance (NMR) spectroscopy relies on acquiring signal from a macroscopic ensemble of molecules to gain information about molecular structure and dynamics. Transferring this technique to nanoscale sample sizes…

Mesoscale and Nanoscale Physics · Physics 2019-02-06 Jeffrey Holzgrafe , Qiushi Gu , Jan Beitner , Dhiren Kara , Helena S. Knowles , Mete Atatüre

Nonlocal effects have been shown to be responsible for a variety of non-trivial optical effects in small-size plasmonic nanoparticles, beyond classical electrodynamics. However, it is not clear whether optical mode descriptions can be…

Cosmological defects result from cosmological phase transitions in the early Universe and the dynamics reflects their symmetry-breaking mechanisms. These cosmological defects may be probed through weak lensing effects because they interact…

Cosmology and Nongalactic Astrophysics · Physics 2017-06-28 Shohei Saga , Kouichirou Horiguchi , Kiyotomo Ichiki

Polar dielectric nanoresonators can support hybrid photon-phonon modes termed surface phonon polaritons with lengthscales below the diffraction limit. In the deep sub-wavelength regime the optical response of these systems was recently…

Mesoscale and Nanoscale Physics · Physics 2020-06-11 C. R. Gubbin , S. De Liberato

Scanning X-ray nanodiffraction microscopy is a powerful technique for spatially resolving nanoscale structural morphologies by diffraction contrast. One of the critical challenges in experimental nanodiffraction data analysis is posed by…

Applied Physics · Physics 2024-06-26 Aileen Luo , Tao Zhou , Martin V. Holt , Andrej Singer , Mathew J. Cherukara

Several fields of applications require a reliable characterization of the photothermal response and heat dissipation of nanoscopic systems, which remains a challenging task both for modeling and experimental measurements. Here, we present a…

We present Neural Memory Object (NeMO), a novel object-centric representation that can be used to detect, segment and estimate the 6DoF pose of objects unseen during training using RGB images. Our method consists of an encoder that requires…

Computer Vision and Pattern Recognition · Computer Science 2026-05-27 Sebastian Jung , Leonard Klüpfel , Rudolph Triebel , Maximilian Durner

Nitrogen vacancy (NV) centers in diamond have emerged as a leading quantum sensor platform, combining exceptional sensitivity with nanoscale spatial resolution by optically detected magnetic resonance (ODMR). Because fluorescence-based ODMR…

Quantum Physics · Physics 2020-11-24 Laura Kim , Hyeongrak Choi , Matthew Trusheim , Dirk Englund

Infrared and Raman spectroscopy are widely used for the characterization of gases, liquids, and solids, as the spectra contain a wealth of information concerning in particular the dynamics of these systems. Atomic scale simulations can be…

Mesoscale and Nanoscale Physics · Physics 2024-08-15 Nan Xu , Petter Rosander , Christian Schäfer , Eric Lindgren , Nicklas Österbacka , Mandi Fang , Wei Chen , Yi He , Zheyong Fan , Paul Erhart

We use an all-optical pump-probe method to develop a mass sensing mechanism in a molecular plasmonic system at room temperature. The system consists of a double-clamped graphene nanoribbon that parametrically interacts with two types of…

Quantum Physics · Physics 2022-07-13 Elnaz AleEbrahim , Malek Bagheri Harouni , Ehsan Amooghorban

Non-Rigid Structure-from-Motion (NRSfM) reconstructs a deformable 3D object from the correspondences established between monocular 2D images. Current NRSfM methods lack statistical robustness, which is the ability to cope with…

Computer Vision and Pattern Recognition · Computer Science 2021-06-03 Shaifali Parashar , Adrien Bartoli , Daniel Pizarro

Sequential DeepFake detection is an emerging task that predicts the manipulation sequence in order. Existing methods typically formulate it as an image-to-sequence problem, employing conventional Transformer architectures. However, these…

Computer Vision and Pattern Recognition · Computer Science 2025-07-30 Yunfei Li , Yuezun Li , Baoyuan Wu , Junyu Dong , Guopu Zhu , Siwei Lyu