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With the advent of neuroimaging and microsurgery, there is a rising need for capturing images through an optical fiber. We present an approach of imaging through a single fiber without mechanical scanning by implementing spatial-spectral…

Two-dimensional materials offering ultrafast photoresponse suffer from low intrinsic absorbance, especially in the mid-infrared wavelength range. Challenges in 2d material doping further complicate the creation of light-sensitive $p-n$…

Identifying similar materials, i.e., those sharing a certain property or feature, requires interoperable data of high quality. It also requires means to measure similarity. We demonstrate how a spectral fingerprint as a descriptor, combined…

Materials Science · Physics 2022-09-21 Martin Kuban , Šimon Gabaj , Wahib Aggoune , Cecilia Vona , Santiago Rigamonti , Claudia Draxl

Research on Offline Handwritten Signature Verification explored a large variety of handcrafted feature extractors, ranging from graphology, texture descriptors to interest points. In spite of advancements in the last decades, performance of…

Computer Vision and Pattern Recognition · Computer Science 2017-05-17 Luiz G. Hafemann , Robert Sabourin , Luiz S. Oliveira

Optical fiber technologies enable high-speed communication, medical imaging, and advanced sensing. Among the techniques for the characterization of optical fibers, Xray computed tomography has recently emerged as a versatile non-destructive…

The physical and electronic properties of ultrathin two-dimensional (2D) layered nanomaterials are highly related to their thickness. Therefore, the rapid and accurate identification of single- and few- to multi-layer nanosheets is…

Materials Science · Physics 2013-10-28 Hai Li , Jumiati Wu , Xiao Huang , Gang Lu , Jian Yang , Xin Lu , Qihua Xiong , Hua Zhang

The reconstruction of shredded documents consists in arranging the pieces of paper (shreds) in order to reassemble the original aspect of such documents. This task is particularly relevant for supporting forensic investigation as documents…

Computer Vision and Pattern Recognition · Computer Science 2020-04-30 Thiago M. Paixão , Rodrigo F. Berriel , Maria C. S. Boeres , Alessando L. Koerich , Claudine Badue , Alberto F. De Souza , Thiago Oliveira-Santos

Narrowband and broadband indoor radar images significantly deteriorate in the presence of target dependent and independent static and dynamic clutter arising from walls. A stacked and sparse denoising autoencoder (StackedSDAE) is proposed…

Signal Processing · Electrical Eng. & Systems 2022-01-21 Shobha Sundar Ram , Shelly Vishwakarma , Akanksha Sneh , Kainat Yasmeen

Material Fingerprinting is a lookup table-based strategy to discover material models from experimental measurements, which completely avoids the need to solve an optimization problem. In an offline phase, a comprehensive database of…

Computational Engineering, Finance, and Science · Computer Science 2026-01-22 Moritz Flaschel , Miguel Angel Moreno-Mateos , Simon Wiesheier , Paul Steinmann , Ellen Kuhl

Performance of fingerprint recognition algorithms substantially rely on fine features extracted from fingerprints. Apart from minutiae and ridge patterns, pore features have proven to be usable for fingerprint recognition. Although features…

Computer Vision and Pattern Recognition · Computer Science 2020-12-14 Syeda Nyma Ferdous , Ali Dabouei , Jeremy Dawson , Nasser M Nasrabadi

With the deepening trend of paperless workflows, signatures as a means of identity authentication are gradually shifting from traditional ink-on-paper to electronic formats.Despite the availability of dynamic pressure-sensitive and…

Computer Vision and Pattern Recognition · Computer Science 2025-11-13 RuiQiang Zhang , Zehua Ma , Guanjie Wang , Chang Liu , Hengyi Wang , Weiming Zhang

Reading the Herculaneum papyri is challenging because both the scrolls and the ink, which is carbon-based, are carbonized. In X-ray radiography and tomography, ink detection typically relies on density- or composition-driven contrast, but…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Giorgio Angelotti , Federica Nicolardi , Paul Henderson , W. Brent Seales

We introduce the Scanning Single Shot Detector (ScanSSD) for locating math formulas offset from text and embedded in textlines. ScanSSD uses only visual features for detection: no formatting or typesetting information such as layout, font,…

Computer Vision and Pattern Recognition · Computer Science 2020-03-19 Parag Mali , Puneeth Kukkadapu , Mahshad Mahdavi , Richard Zanibbi

Arbitrary shape text detection is a challenging task due to the significantly varied sizes and aspect ratios, arbitrary orientations or shapes, inaccurate annotations, etc. Due to the scalability of pixel-level prediction,…

Computer Vision and Pattern Recognition · Computer Science 2022-08-29 Shi-Xue Zhang , Xiaobin Zhu , Lei Chen , Jie-Bo Hou , Xu-Cheng Yin

With the increasing integration of smartphones into our daily lives, fingerphotos are becoming a potential contactless authentication method. While it offers convenience, it is also more vulnerable to spoofing using various presentation…

Computer Vision and Pattern Recognition · Computer Science 2023-10-24 Banafsheh Adami , Sara Tehranipoor , Nasser Nasrabadi , Nima Karimian

Nowadays, due to the growing phenomenon of forgery in many fields, the interest in developing new anti-counterfeiting device and cryptography keys, based on the Physical Unclonable Functions (PUFs) paradigm, is widely increased. PUFs are…

Cryptography and Security · Computer Science 2026-03-06 Giuseppe Emanuele Lio , Mauro Daniel Luigi Bruno , Francesco Riboli , Sara Nocentini , Antonio Ferraro

Lensless imaging has emerged as a potential solution towards realizing ultra-miniature cameras by eschewing the bulky lens in a traditional camera. Without a focusing lens, the lensless cameras rely on computational algorithms to recover…

Image and Video Processing · Electrical Eng. & Systems 2020-10-30 Salman S. Khan , Varun Sundar , Vivek Boominathan , Ashok Veeraraghavan , Kaushik Mitra

Counterfeit products cause severe harm to public safety and health by penetrating untrusted supply chains. Numerous anti-counterfeiting techniques have been proposed, among which the use of inherent, unclonable irregularities of paper…

Cryptography and Security · Computer Science 2024-08-06 Anirudh Nakra , Min Wu , Chau-Wai Wong

Compared with flatbed scanners, portable smartphones provide more convenience for physical document digitization. However, such digitized documents are often distorted due to uncontrolled physical deformations, camera positions, and…

Computer Vision and Pattern Recognition · Computer Science 2022-12-27 Hao Feng , Wengang Zhou , Jiajun Deng , Qi Tian , Houqiang Li

Fingerprint is a common biometric used for authentication and verification of an individual. These images are degraded when fingers are wet, dirty, dry or wounded and due to the failure of the sensors, etc. The extraction of the fingerprint…

Computer Vision and Pattern Recognition · Computer Science 2019-03-25 Sukesh Adiga , Jayanthi Sivaswamy
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