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The Direct Structured-Light Inspection Technique (DSIT) proposed in this paper is a novel method that can be implemented under two types of binary structured light illumination to detect contaminants and defects on specular surfaces and…

Image and Video Processing · Electrical Eng. & Systems 2020-06-23 Yiyang Huang

Restoration and enhancement are essential for improving the quality of videos captured under atmospheric turbulence conditions, aiding visualization, object detection, classification, and tracking in surveillance systems. In this paper, we…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Paul Hill , Zhiming Liu , Nantheera Anantrasirichai

Scientific image tampering is a problem that affects not only authors but also the general perception of the research community. Although previous researchers have developed methods to identify tampering in natural images, these methods may…

Computer Vision and Pattern Recognition · Computer Science 2020-03-06 Ziyue Xiang , Daniel E. Acuna

Imaging through complex scattering media is severely limited by aberrations and scattering which obscure images and reduce resolution. Confocal and temporal gatings partly filter out multiple scattering but are severely degraded by…

Optics · Physics 2026-05-18 Yiwen Zhang , Minh Dinh , Zeyu Wang , Tianhao Zhang , Tianhang Chen , Chia Wei Hsu

In case of salient subject recognition, computer algorithms have been heavily relied on scanning of images from top-left to bottom-right systematically and apply brute-force when attempting to locate objects of interest. Thus, the process…

Computer Vision and Pattern Recognition · Computer Science 2015-11-11 Abhishek Maity

Structured light illumination is an active 3-D scanning technique based on projecting/capturing a set of striped patterns and measuring the warping of the patterns as they reflect off a target object's surface. In the case of phase…

Computer Vision and Pattern Recognition · Computer Science 2017-06-09 Daniel L. Lau , Yu Zhang , Kai Liu

Atmospheric Turbulence (AT) degrades the clarity and accuracy of surveillance imagery, posing challenges not only for visualization quality but also for object classification and scene tracking. Deep learning-based methods have been…

Computer Vision and Pattern Recognition · Computer Science 2025-11-25 Paul Hill , Zhiming Liu , Alin Achim , Dave Bull , Nantheera Anantrasirichai

Metal manufacturing often results in the production of defective products, leading to operational challenges. Since traditional manual inspection is time-consuming and resource-intensive, automatic solutions are needed. The study utilizes…

Computer Vision and Pattern Recognition · Computer Science 2024-10-08 Toqa Alaa , Mostafa Kotb , Arwa Zakaria , Mariam Diab , Walid Gomaa

The assessment of sewer pipe systems is a highly important, but at the same time cumbersome and error-prone task. We introduce an innovative system based on single-shot structured light modules that facilitates the detection and…

Computer Vision and Pattern Recognition · Computer Science 2023-03-07 Johannes Künzel , Darko Vehar , Rico Nestler , Karl-Heinz Franke , Anna Hilsmann , Peter Eisert

Fabricating experimental pictures in research work is a serious academic misconduct, which should better be detected in the reviewing process. However, due to large number of submissions, the detection whether a picture is fabricated or…

Computer Vision and Pattern Recognition · Computer Science 2020-02-11 Binrui Shen , Qiang Niu , Shengxin Zhu

Faithful manipulation of shape, material, and illumination in 2D Internet images would greatly benefit from a reliable factorization of appearance into material (i.e., diffuse and specular) and illumination (i.e., environment maps). On the…

Graphics · Computer Science 2017-11-15 Tuanfeng Y. Wang , Tobias Ritschel , Niloy J. Mitra

For quality control in the factory, 3D-metrology faces increasing demands for high precision and for more space-bandwidth-speed-product SBSP (number of 3D-points/sec). As a potential solution, we will discuss Structured-Illumination…

Optics · Physics 2023-07-19 Zheng Yang , Alexander Kessel , Gerd Häusler

Segmenting arbitrary 3D objects into constituent parts that are structurally meaningful is a fundamental problem encountered in a wide range of computer graphics applications. Existing methods for 3D shape segmentation suffer from complex…

Graphics · Computer Science 2020-10-23 Cheng Lin , Lingjie Liu , Changjian Li , Leif Kobbelt , Bin Wang , Shiqing Xin , Wenping Wang

Most automatic matting methods try to separate the salient foreground from the background. However, the insufficient quantity and subjective bias of the current existing matting datasets make it difficult to fully explore the semantic…

Computer Vision and Pattern Recognition · Computer Science 2022-04-25 Bo Xu , Jiake Xie , Han Huang , Ziwen Li , Cheng Lu , Yong Tang , Yandong Guo

Recent surface anomaly detection methods excel at identifying structural anomalies, such as dents and scratches, but struggle with logical anomalies, such as irregular or missing object components. The best-performing logical anomaly…

Computer Vision and Pattern Recognition · Computer Science 2025-09-03 Matic Fučka , Vitjan Zavrtanik , Danijel Skočaj

We introduce Appearance-MAT (AMAT), a generalization of the medial axis transform for natural images, that is framed as a weighted geometric set cover problem. We make the following contributions: i) we extend previous medial point…

Computer Vision and Pattern Recognition · Computer Science 2017-08-04 Stavros Tsogkas , Sven Dickinson

This paper proposes a new framework for low-light image enhancement by simultaneously conducting the appearance as well as structure modeling. It employs the structural feature to guide the appearance enhancement, leading to sharp and…

Computer Vision and Pattern Recognition · Computer Science 2023-05-11 Xiaogang Xu , Ruixing Wang , Jiangbo Lu

The Medial Axis Transform (MAT) is a complete shape descriptor capable of reconstructing the geometry of the original domain. A high-quality MAT should not only facilitate high-fidelity reconstruction but also capture structural features --…

Graphics · Computer Science 2026-05-05 Pengfei Wang , Shuangmin Chen , Dongming Yan , Ying He , Shiqing Xin , Changhe Tu , Wenping Wang

Structured light illumination is an active 3-D scanning technique based on projecting/capturing a set of striped patterns and measuring the warping of the patterns as they reflect off a target object's surface. As designed, each pixel in…

Computer Vision and Pattern Recognition · Computer Science 2017-06-12 Yu Zhang , Daniel L. Lau , Ying Yu

In this paper, the scattering/transmission inside a step-modulated subwavelength metal slit is investigated in detail. We firstly investigate the scattering in a junction structure by two types of structural changes. The variation of…

Optics · Physics 2015-05-30 Chao Li , Yun-Song Zhou , Huai-Yu Wang , Jian-Hong Guo
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