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Colour and coarseness of skin are visually different. When image processing is involved in the skin analysis, it is important to quantitatively evaluate such differences using texture features. In this paper, we discuss a texture analysis…

Computer Vision and Pattern Recognition · Computer Science 2010-05-11 A. Sparavigna , R. Marazzato

Periocular biometrics has been established as an independent modality due to concerns on the performance of iris or face systems in uncontrolled conditions. Periocular refers to the facial region in the eye vicinity, including eyelids,…

Computer Vision and Pattern Recognition · Computer Science 2023-07-27 Fernando Alonso-Fernandez , Josef Bigun

Most of the current techniques for face recognition require the presence of a full face of the person to be recognized, and this situation is difficult to achieve in practice, the required person may appear with a part of his face, which…

Computer Vision and Pattern Recognition · Computer Science 2022-03-14 Osama R. Shahin , Rami Ayedi , Alanazi Rayan , Rasha M. Abd El-Aziz , Ahmed I. Taloba

In the beginning stage, face verification is done using easy method of geometric algorithm models, but the verification route has now developed into a scientific progress of complicated geometric representation and identical procedure. In…

Computer Vision and Pattern Recognition · Computer Science 2014-03-24 V. Karthikeyan , K. Vijayalakshmi , P. Jeyakumar

From The late 90th, "Skin Detection" becomes one of the major problems in image processing. If "Skin Detection" will be done in high accuracy, it can be used in many cases as face recognition, Human Tracking and etc. Until now so many…

Computer Vision and Pattern Recognition · Computer Science 2012-07-09 Shervan Fekri-Ershad , Mohammad Saberi , Farshad Tajeripour

We present an optical metrology system for characterization of topography of micro/nano-structures on a surface or embedded in a semi-transparent material. Based on the principles of scatterometry, where the intensity of scattered light is…

Instrumentation and Detectors · Physics 2016-01-15 Morten Hannibal Madsen , Poul-Erik Hansen

In medical imaging, scans often reveal objects with varied contrasts but consistent internal intensities or textures. This characteristic enables the use of low-frequency approximations for tasks such as segmentation and deformation field…

Image and Video Processing · Electrical Eng. & Systems 2024-01-19 Hang Zhang , Xiang Chen , Rongguang Wang , Renjiu Hu , Dongdong Liu , Gaolei Li

Despite the great advances made in the field of image super-resolution (ISR) during the last years, the performance has merely been evaluated perceptually. Thus, it is still unclear whether ISR is helpful for other vision tasks. In this…

Computer Vision and Pattern Recognition · Computer Science 2016-01-29 Dengxin Dai , Yujian Wang , Yuhua Chen , Luc Van Gool

Biometrics systems have significantly improved person identification and authentication, playing an important role in personal, national, and global security. However, these systems might be deceived (or "spoofed") and, despite the recent…

Computer Vision and Pattern Recognition · Computer Science 2016-11-17 David Menotti , Giovani Chiachia , Allan Pinto , William Robson Schwartz , Helio Pedrini , Alexandre Xavier Falcao , Anderson Rocha

With the rapidly growing population of resident space objects (RSOs) in the near-Earth space environment, detailed information about their condition and capabilities is needed to provide Space Domain Awareness (SDA). Space-based sensing…

Computer Vision and Pattern Recognition · Computer Science 2025-12-18 Morgan Coe , Gruffudd Jones , Leah-Nani Alconcel , Marina Gashinova

Existing frameworks for image stitching often provide visually reasonable stitchings. However, they suffer from blurry artifacts and disparities in illumination, depth level, etc. Although the recent learning-based stitchings relax such…

Computer Vision and Pattern Recognition · Computer Science 2024-01-23 Minsu Kim , Jaewon Lee , Byeonghun Lee , Sunghoon Im , Kyong Hwan Jin

Textureless object recognition has become a significant task in Computer Vision with the advent of Robotics and its applications in manufacturing sector. It has been challenging to obtain good accuracy in real time because of its lack of…

Computer Vision and Pattern Recognition · Computer Science 2024-08-31 Frincy Clement , Kirtan Shah , Dhara Pancholi , Gabriel Lugo Bustillo , Irene Cheng

Biometric presentation attack detection is gaining increasing attention. Users of mobile devices find it more convenient to unlock their smart applications with finger, face or iris recognition instead of passwords. In this paper, we survey…

Computer Vision and Pattern Recognition · Computer Science 2020-05-04 Yomna Safaa El-Din , Mohamed N. Moustafa , Hani Mahdi

The problem of 3D object recognition is of immense practical importance, with the last decade witnessing a number of breakthroughs in the state of the art. Most of the previous work has focused on the matching of textured objects using…

Computer Vision and Pattern Recognition · Computer Science 2013-06-17 Ognjen Arandjelovic

The use of biometrics to authenticate users and control access to secure areas has become extremely popular in recent years, and biometric access control systems are frequently used by both governments and private corporations. However,…

Cryptography and Security · Computer Science 2023-12-04 Justin Spencer , Deborah Lawrence , Prosenjit Chatterjee , Kaushik Roy , Albert Esterline , Jung-Hee Kim

Breast cancer is a health problem that affects mainly the female population. An early detection increases the chances of effective treatment, improving the prognosis of the disease. In this regard, computational tools have been proposed to…

Computer Vision and Pattern Recognition · Computer Science 2022-03-01 Steve Tsham Mpinda Ataky , Alessandro Lameiras Koerich

This paper presents an analysis of how iris recognition is influenced by eye disease and an appropriate dataset comprising 2996 images of irises taken from 230 distinct eyes (including 184 affected by more than 20 different eye conditions).…

Computer Vision and Pattern Recognition · Computer Science 2018-09-05 Mateusz Trokielewicz , Adam Czajka , Piotr Maciejewicz

This paper presents the experimental study revealing weaker performance of the automatic iris recognition methods for cataract-affected eyes when compared to healthy eyes. There is little research on the topic, mostly incorporating scarce…

Computer Vision and Pattern Recognition · Computer Science 2018-09-05 Mateusz Trokielewicz , Adam Czajka , Piotr Maciejewicz

Recognizing a face based on its attributes is an easy task for a human to perform as it is a cognitive process. In recent years, Face Recognition is achieved with different kinds of facial features which were used separately or in a…

Computer Vision and Pattern Recognition · Computer Science 2010-11-10 S. Sakthivel , R. Lakshmipathi

Facial retouching to beautify images is widely spread in social media, advertisements, and it is even applied in professional photo studios to let individuals appear younger, remove wrinkles and skin impurities. Generally speaking, this is…

Computer Vision and Pattern Recognition · Computer Science 2025-12-10 Philipp Srock , Juan E. Tapia , Christoph Busch