Relevant bibliographies by topics / Soft Biometry

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Soft Biometry'

Author: Grafiati
Published: 11 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Soft Biometry"

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Ahmed, Aseef, Sinan Akosman, Sasha Narain, and Keith J. Wroblewski. "Presence of a soft contact lens during biometry." Global Journal of Cataract Surgery and Research in Ophthalmology 2 (September 13, 2023): 48–49. http://dx.doi.org/10.25259/gjcsro_10_2023.

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A case of an intraocular lens (IOL) power calculation error due to the presence of a soft contact lens (CL) is described. During preparation of a routine cataract surgery for a patient in the operating room, a soft CL was discovered on the patient’s surgical eye by the scrub nurse. Further, questioning revealed that the patient was a regular CL wearer and had possibly worn them during pre-operative biometric measurement, suggesting a potential error in his IOL calculation. Surgery was not performed, and the patient was given a CL holiday. Examination of the pre-operative B-scan ultrasound by t
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Różyło-Kalinowska, Ingrid, Jakub Kuryło, Stanisław Nowak, Magdalena Piskórz, Katarzyna Portka, and Magdalena Kozek. "Ultrasonographic biometry of soft tissues in patients with gingival recessions. Preliminary report." Journal of Stomatology 72, no. 3 (2019): 106–11. http://dx.doi.org/10.5114/jos.2019.87523.

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Madadi, Meysam, Sergio Escalera, Jordi Gonzàlez, F. Xavier Roca, and Felipe Lumbreras. "Multi-part body segmentation based on depth maps for soft biometry analysis." Pattern Recognition Letters 56 (April 2015): 14–21. http://dx.doi.org/10.1016/j.patrec.2015.01.012.

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Hebbar, Shripad, Sukriti Malaviya, and Sunanda Bharatnur. "INTEGRATION OF FETAL MID THIGH SOFT TISSUE THICKNESS IN ULTRASOUND BIRTH WEIGHT ESTIMATION FORMULA INCREASES THE ACCURACY OF FETAL WEIGHT ESTIMATION NEAR TERM." Asian Journal of Pharmaceutical and Clinical Research 11, no. 4 (2018): 446. http://dx.doi.org/10.22159/ajpcr.2018.v11i4.23776.

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Objective: The objective of the study was to find whether incorporation of MTSTT in fetal weight estimation formulae which are traditionally based on biparietal diameter (BPD), head circumference (HC), abdominal circumference (AC), and femur length (FL) improves birth weight (BW) estimation. Methods: In a prospective observational study, MTSTT was measured within 1 week of delivery in 100 women with term singleton pregnancy along with other standard biometric parameters, i.e. BPD, HC, AC and FL, and MTSTT. Multiple regression analysis was carried out using PHOEBE regression software using diff
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Belov, D. F., V. P. Nikolaenko, and V. V. Kovaleva. "Evaluation and Refractive Results Comparison of MIOL-­SOFT-­2­-13 IOL Implantation with Foreign Models." Ophthalmology in Russia 21, no. 2 (2024): 289–95. http://dx.doi.org/10.18008/1816-5095-2024-2-289-295.

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Purpose. Evaluation and refractive results comparison of MIOL-­SOFT-­2­-13 (Reper­NN, Russia) IOL implantation with foreign models. Material and methods. The study included 816 patients (816 eyes) who underwent phacoemulsification (PE) with IOL implantation, divided into four groups depending on IOL model: MIOL­-SOFT-2-­13 (Reper­-NN, Russia) (n = 199); SA60AT (Alcon, USA) (n = 237); Adapt AO (Bausch&Lomb, USA) (n = 179); Acryfold 601 (Appasamy Associates, India) (n = 201). All patients underwent optical biometry using IOL­-Master 500 (Carl Zeiss, Germany). A month after PE spherical equiv
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Cinar, Hatice Burcu, and Mekin Sezik. "Correlation of Fractional Limb Volume Measurements with Neonatal Morphometric Indices." Gynecologic and Obstetric Investigation 86, no. 1-2 (2021): 94–99. http://dx.doi.org/10.1159/000512749.

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<b><i>Objectives:</i></b> Fractional thigh volume (TVol) and fractional arm volume (AVol) measurements by three-dimensional (3D) ultrasound can reveal valuable information on fetal soft tissue development. However, it is not clear whether TVol or AVol provides better estimates of fetal body proportion and adiposity, independent of routine two-dimensional (2D) ultrasound biometry. The primary objective of the current study was to determine the correlations between fractional limb volumes (FLVs) and neonatal anthropometric parameters. <b><i>Design:</i>&l
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Lewis, Jennifer R., Andrea E. Knellinger, Ashraf M. Mahmoud, and Thomas F. Mauger. "Effect of Soft Contact Lenses on Optical Measurements of Axial Length and Keratometry for Biometry in Eyes with Corneal Irregularities." Investigative Opthalmology & Visual Science 49, no. 8 (2008): 3371. http://dx.doi.org/10.1167/iovs.07-1247.

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Garcia Flores, Jose, Ritu Mogra, Monica Sadowski, and Jon Hyett. "Prediction of Birth Weight and Neonatal Adiposity Using Ultrasound Assessment of Soft Tissue Parameters in Addition to Two-Dimensional Conventional Biometry." Fetal Diagnosis and Therapy 48, no. 3 (2021): 201–8. http://dx.doi.org/10.1159/000510637.

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<b><i>Introduction:</i></b> We aim to evaluate the supplementary predictive value of soft tissue markers, including fetal limb volumes, for fetal birth weight and fat tissue weight. <b><i>Methods:</i></b> This is a prospective study of 60 patients undergoing term induction of labor. Ultrasound was performed 48 h before birth, and 2D sonographic measurements, subcutaneous tissue thickness, and 3D fetal limb volumes were taken. Birth weight and neonatal fat weight were assessed by plethysmography. Clinical data were collected. The relation between
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Tarutta, E. P., S. V. Milash, and M. V. Epishina. "Accommodation Dynamics in Children Wearing Bifocal Soft Contact Lenses with High Addition Power." EYE GLAZ 23, no. 1 (2021): 7–14. http://dx.doi.org/10.33791/2222-4408-2021-1-7-14.

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Purpose: to evaluate dynamics of subjective and objective accommodation in children wearing bifocal soft contact lenses (BSCLs) for myopia control with +4.00 D addition power. M e t h o d s: the study involved 22 patients (44 eyes).Mean age amounted to 10.1 ± 1.46 years and mean myopic refraction amounted to –3.21 ± 1.23 D. Patients were fitted Prima BIO Bi-focal BSCLs (OKVision Retail, Russia). All patients underwent cycloplegic refraction assessed with Auto Ref/Keratometer ARK 530A (Nidek, Japan), had axial length measured with IOL Master 500 optical biometry device (Carl Zeiss, Germany), ha
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Tamano, Luana Tieko Omena, Beethoven Brandão Correia de Lima, Joseane Da Silva, and Daniel de Magalhães Araujo. "FISHING, PROCESSING, COMMERCIALIZATION AND A PROPOSE TO FISHERY WASTE REUSE OF SURURU Mytella falcata IN THE MUNDAÚ LAGOON, MACEIÓ – AL, BRAZIL." Caminhos de Geografia 21, no. 76 (2020): 306–20. http://dx.doi.org/10.14393/rcg217652255.

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A diagnosis was made on the fishing, processing, commercialization and generation of residues of the sururu fishery in Mundaú lagoon, Maceió-AL. Thirty nine fishermen were interviewed and also incursions were made for observations. Furthermore, sururus were collected to perform biometry. Residue of the sururu processing was collected to the fabrication of sururu waste meal (SWM), posteriorilly its bromatological composition was analysed. Fishermens of sururus fish 4.56 times week-1 and each fishing excursion lasts 5h26min, yielding 18.61 cans (18.61 to 37.22 kg soft tissue). Besides the sururu
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Dissertations / Theses on the topic "Soft Biometry"

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Guo, Bingchen. "Soft biometric fusion for subject recognition at a distance." Thesis, University of Southampton, 2018. https://eprints.soton.ac.uk/423611/.

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Biometric recognition is an advanced technology that employs physical features (such as fingerprint, iris and face capture) and behavioural features (such as gait, signature and voice) to identify people. Biometric features are reliable and valid ways to describe the unique properties of individuals, but there are often rigorous requirements on the position and characteristics of devices used for data acquisition. Since biometric features can be difficult to capture at a distance, soft biometric features, such as height, weight, skin colour and gender, have received much attention. Although th
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Terhörst, Philipp [Verfasser], Arjan [Akademischer Betreuer] Kuijper, Dieter [Akademischer Betreuer] Fellner, and Vitomir [Akademischer Betreuer] Struc. "Mitigating Soft-Biometric Driven Bias and Privacy Concerns in Face Recognition Systems / Philipp Terhörst ; Arjan Kuijper, Dieter Fellner, Vitomir Struc." Darmstadt : Universitäts- und Landesbibliothek, 2021. http://d-nb.info/1233785060/34.

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Soriano, Tolosa Antonio. "Fusión de datos estadísticamente dependientes en sistemas de detección." Doctoral thesis, Universitat Politècnica de València, 2014. http://hdl.handle.net/10251/34780.

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La presente tesis se centra en la problemática existente a la hora de implementar un sistema de detección o clasificación binaria cuando es necesario combinar, integrar o fusionar diversas fuentes de información que pueden ser dependientes y heterogéneas entre sí. Las técnicas de fusión de datos tratan de combinar múltiples fuentes de información para alcanzar la exactitud y precisión en la toma de decisiones que no sería posible conseguir con el uso de una sola fuente de información de forma aislada. En un sistema de detección se pueden encontrar diferentes etapas y niveles de f
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CAPLOVA, ZUZANA. "MORPHOLOGY OF THE FACE AS A POSTMORTEM PERSONAL IDENTIFIER." Doctoral thesis, Università degli Studi di Milano, 2018. http://hdl.handle.net/2434/544095.

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The human face carries some of the most individualizing features suitable for the personal identification. Facial morphology is used for the face matching of living. An extensive research is conducted to develop the matching algorithm to mimic the human ability to recognize and match faces. Human ability to recognize and match faces, however, is not errorless and it serves as the main argument precluding the visual facial matching from its use as an identification tool. The human face keeps its individuality after death. Compared to the faces of living, the faces of deceased are rarely used o
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Segalin, Cristina. "A Social Signal Processing Perspective on Computational Aesthetics: Theories and Applications." Doctoral thesis, 2016. http://hdl.handle.net/11562/941657.

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Ogni giorno, siamo esposti a varie immagini e video grazie ai social media, come Facebook, Youtube, Flickr, Instagram e altri. In questo scenario, l'esprimere preferenze per un dato contenuto multimediale (per esempio con l'uso del meccanismo di ``like'') è diventato pervasivo e imponente, diventando un fenomeno di massa sociale. Uno dei principali risultati nelle scienze cognitive è che i processi automatici di cui non siamo a conoscenza, modellano, per la maggior parte, la nostra percezione dell'ambiente. Il fenomeno si applica non solo al mondo reale, ma anche ai dati multimediali che consu
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Middendorff, Christopher. "Multi-biometric approaches to ear biometrics and soft biometrics." 2009. http://etd.nd.edu/ETD-db/theses/available/etd-11062009-203812/.

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Thesis (Ph. D.)--University of Notre Dame, 2009.<br>Thesis directed by Kevin W. Bowyer for the Department of Computer Science and Engineering. "November 2009." Includes bibliographical references (leaves 153-157).
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Terhörst, Philipp. "Mitigating Soft-Biometric Driven Bias and Privacy Concerns in Face Recognition Systems." Phd thesis, 2021. https://tuprints.ulb.tu-darmstadt.de/18515/7/Dissertation_Terhoerst_final.pdf.

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Biometric verification refers to the automatic verification of a person’s identity based on their behavioural and biological characteristics. Among various biometric modalities, the face is one of the most widely used since it is easily acquirable in unconstrained environments and provides a strong uniqueness. In recent years, face recognition systems spread world-wide and are increasingly involved in critical decision-making processes such as finance, public security, and forensics. The growing effect of these systems on everybody’s daily life is driven by the strong enhancements in their rec
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Yaghoubi, Ehsan. "Soft Biometric Analysis: MultiPerson and RealTime Pedestrian Attribute Recognition in Crowded Urban Environments." Doctoral thesis, 2021. http://hdl.handle.net/10400.6/12081.

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Traditionally, recognition systems were only based on human hard biometrics. However, the ubiquitous CCTV cameras have raised the desire to analyze human biometrics from far distances, without people attendance in the acquisition process. Highresolution face closeshots are rarely available at far distances such that facebased systems cannot provide reliable results in surveillance applications. Human soft biometrics such as body and clothing attributes are believed to be more effective in analyzing human data collected by security cameras. This thesis contributes to the human soft bio
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Books on the topic "Soft Biometry"

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Deng, Hepu. Artificial Intelligence and Computational Intelligence: International Conference, AICI 2009, Shanghai, China, November 7-8, 2009. Proceedings. Springer-Verlag Berlin Heidelberg, 2009.

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Soft Computing For Recognition Based On Biometrics. Springer, 2010.

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Chowdhary, Chiranji Lal. Intelligent Systems: Advances in Biometric Systems, Soft Computing, Image Processing, and Data Analytics. Apple Academic Press, Incorporated, 2019.

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Chowdhary, Chiranji Lal. Intelligent Systems: Advances in Biometric Systems, Soft Computing, Image Processing, and Data Analytics. Apple Academic Press, Incorporated, 2019.

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Chowdhary, Chiranji Lal. Intelligent Systems: Advances in Biometric Systems, Soft Computing, Image Processing, and Data Analytics. Apple Academic Press, Incorporated, 2019.

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Intelligent Systems: Advances in Biometric Systems, Soft Computing, Image Processing, and Data Analytics. Taylor & Francis Group, 2019.

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Deng, Hepu, Jingsheng Lei, and Duoqian Miao. Artificial Intelligence and Computational Intelligence: Second International Conference, AICI 2011, Taiyuan, China, September 24-25, 2011, Proceedings, Part II. Springer, 2011.

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Book chapters on the topic "Soft Biometry"

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Siwik, Leszek, Lukasz Mozgowoj, and Krzysztof Rzecki. "From Biometry to Signature-As-A-Service: The Idea, Architecture and Realization." In Artificial Intelligence and Soft Computing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39384-1_18.

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Samangooei, Sina, and Mark S. Nixon. "On Semantic Soft-Biometric Labels." In Biometric Authentication. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13386-7_1.

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Jaha, Emad Sami, and Mark S. Nixon. "Analysing Soft Clothing Biometrics for Retrieval." In Biometric Authentication. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13386-7_19.

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Jain, Anil K., Sarat C. Dass, and Karthik Nandakumar. "Soft Biometric Traits for Personal Recognition Systems." In Biometric Authentication. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-25948-0_99.

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Xiao, Shudi, Shuiwang Li, and Qijun Zhao. "Low-Quality 3D Face Recognition with Soft Thresholding." In Biometric Recognition. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86608-2_46.

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Gomolka, Zbigniew, and Tomasz Lewandowski. "The Biometric Signals Processing." In Advances in Soft Computing. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-75175-5_80.

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Franke, Katrin, and Javier Ruiz-del-Solar. "Soft-Biometrics: Soft-Computing Technologies for Biometric-Applications." In Advances in Soft Computing — AFSS 2002. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45631-7_24.

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Rot, Peter, Peter Peer, and Vitomir Štruc. "Detecting Soft-Biometric Privacy Enhancement." In Handbook of Digital Face Manipulation and Detection. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87664-7_18.

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AbstractWith the proliferation of facial analytics and automatic recognition technology that can automatically extract a broad range of attributes from facial images, so-called soft-biometric privacy-enhancing techniques have seen increased interest from the computer vision community recently. Such techniques aim to suppress information on certain soft-biometric attributes (e.g., age, gender, ethnicity) in facial images and make unsolicited processing of the facial data infeasible. However, because the level of privacy protection ensured by these methods depends to a significant extent on the
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Ye, Huixing, Roland Hu, Huimin Yu, and Robert Ian Damper. "Face Recognition Based on Adaptive Soft Histogram Local Binary Patterns." In Biometric Recognition. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02961-0_8.

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Jain, Anil K., Karthik Nandakumar, Xiaoguang Lu, and Unsang Park. "Integrating Faces, Fingerprints, and Soft Biometric Traits for User Recognition." In Biometric Authentication. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-25976-3_24.

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Conference papers on the topic "Soft Biometry"

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R A, Manju, and Akshay Agarwal. "Benchmarking In-the-wild Soft Biometric Attribute Identification." In 2024 IEEE International Joint Conference on Biometrics (IJCB). IEEE, 2024. http://dx.doi.org/10.1109/ijcb62174.2024.10744471.

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Abdullahi, Sunusi Bala, and Kosin Chamnongthai. "Intrinsic property-based soft biometric classification using wavelet CNNs and LRP." In 2024 International Conference on Photonics Solutions (ICPS2024), edited by Apichai Bhatranand. SPIE, 2025. https://doi.org/10.1117/12.3058542.

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A, Manju R., Atul Kumar, and Akshay Agarwal. "On Which Data Distribution (Synthetic or Real) We Should Rely for Soft Biometric Classification." In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 2025. https://doi.org/10.1109/wacv61041.2025.00608.

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Mirabet-Herranz, Nelida, Chiara Galdi, and Jean-Luc Dugelay. "One Embedding to Predict Them All: Visible and Thermal Universal Face Representations for Soft Biometric Estimation via Vision Transformers." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2024. http://dx.doi.org/10.1109/cvprw63382.2024.00157.

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D'Angelo, Angela, and Jean-Luc Dugelay. "Color based soft biometry for hooligans detection." In 2010 IEEE International Symposium on Circuits and Systems - ISCAS 2010. IEEE, 2010. http://dx.doi.org/10.1109/iscas.2010.5537508.

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Wang, Yuan-Fang, Edward Y. Chang, and Ken P. Cheng. "A video analysis framework for soft biometry security surveillance." In the third ACM international workshop. ACM Press, 2005. http://dx.doi.org/10.1145/1099396.1099412.

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Garg, Rishabh, Anisha Arora, Saurabh Singh, and Shipra Saraswat. "Biometric Authentication using Soft Biometric Traits." In 2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC). IEEE, 2018. http://dx.doi.org/10.1109/pdgc.2018.8745766.

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Fuentes-Hernandez, Canek, Youngrak Park, Kyungjin Kim, et al. "Flexible and stretchable low-noise organic photodiodes for biometric monitoring." In Latin America Optics and Photonics Conference. Optica Publishing Group, 2022. http://dx.doi.org/10.1364/laop.2022.m4b.6.

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Soft and stretchable semiconductors could enable seamless integration of wearable or implantable sensors with biological systems. We report on flexible and stretchable organic photodiodes with silicon-photodetector like performance and applications in biometric monitoring.
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Kashyap, Abhay L., Sergey Tulyakov, and Venu Govindaraju. "Facial behavior as a soft biometric." In 2012 5th IAPR International Conference on Biometrics (ICB). IEEE, 2012. http://dx.doi.org/10.1109/icb.2012.6199772.

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Chhaya, Niyati, and Tim Oates. "Joint inference of soft biometric features." In 2012 5th IAPR International Conference on Biometrics (ICB). IEEE, 2012. http://dx.doi.org/10.1109/icb.2012.6199794.

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