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This paper investigates a novel algorithmic vulnerability when imperceptible image layers confound multiple vision models into arbitrary label assignments and captions. We explore image preprocessing methods to introduce stealth…

Computer Vision and Pattern Recognition · Computer Science 2024-01-30 Forrest McKee , David Noever

We propose a new system to visualize depth-dependent patterns and images on solid objects with complex geometry using multiple projectors. The system, despite consisting of conventional passive LCD projectors, is able to project different…

Computer Vision and Pattern Recognition · Computer Science 2016-09-13 Takuto Hirukawa , Marco Visentini-Scarzanella , Hiroshi Kawasaki , Ryo Furukawa , Shinsaku Hiura

Convolutional neural networks have been used to achieve a string of successes during recent years, but their lack of interpretability remains a serious issue. Adversarial examples are designed to deliberately fool neural networks into…

Machine Learning · Computer Science 2020-04-28 Jan Philip Göpfert , André Artelt , Heiko Wersing , Barbara Hammer

Near-infrared (NIR) face recognition systems, which can operate effectively in low-light conditions or in the presence of makeup, exhibit vulnerabilities when subjected to physical adversarial attacks. To further demonstrate the potential…

Computer Vision and Pattern Recognition · Computer Science 2025-04-23 Songyan Xie , Jinghang Wen , Encheng Su , Qiucheng Yu

With the rapid development of machine learning for image classification, researchers have found new applications of visualization techniques in malware detection. By converting binary code into images, researchers have shown satisfactory…

Cryptography and Security · Computer Science 2021-09-23 Hadjer Benkraouda , Jingyu Qian , Hung Quoc Tran , Berkay Kaplan

Holographic near-eye displays are a promising technology to solve long-standing challenges in virtual and augmented reality display systems. Over the last few years, many different computer-generated holography (CGH) algorithms have been…

Graphics · Computer Science 2024-04-19 Dongyeon Kim , Seung-Woo Nam , Suyeon Choi , Jong-Mo Seo , Gordon Wetzstein , Yoonchan Jeong

Although face recognition starts to play an important role in our daily life, we need to pay attention that data-driven face recognition vision systems are vulnerable to adversarial attacks. However, the current two categories of…

Computer Vision and Pattern Recognition · Computer Science 2023-08-08 Junbin Fang , Canjian Jiang , You Jiang , Puxi Lin , Zhaojie Chen , Yujing Sun , Siu-Ming Yiu , Zoe L. Jiang

We introduce algorithms to visualize feature spaces used by object detectors. The tools in this paper allow a human to put on `HOG goggles' and perceive the visual world as a HOG based object detector sees it. We found that these…

Computer Vision and Pattern Recognition · Computer Science 2013-05-07 Carl Vondrick , Aditya Khosla , Tomasz Malisiewicz , Antonio Torralba

Nowadays, three-dimensional reconstruction is used in various fields like computer vision, computer graphics, mixed reality and digital twin. The three-dimensional reconstruction of cultural heritage objects is one of the most important…

Computer Vision and Pattern Recognition · Computer Science 2024-06-24 F. S. Mortazavi , M. Saadatseresht

Visual localization is the task of estimating the camera pose from which a given image was taken and is central to several 3D computer vision applications. With the rapid growth in the popularity of AR/VR/MR devices and cloud-based…

Computer Vision and Pattern Recognition · Computer Science 2023-05-09 Kunal Chelani , Torsten Sattler , Fredrik Kahl , Zuzana Kukelova

The polarization of optical fields is a crucial degree of freedom in the all-optical analogue of electromagnetically induced transparency (EIT). However, the physical origins of EIT and polarization induced phenomena have not been well…

We propose a novel approach for monocular 3D object detection by leveraging local perspective effects of each object. While the global perspective effect shown as size and position variations has been exploited for monocular 3D detection…

Computer Vision and Pattern Recognition · Computer Science 2023-01-06 Minghan Zhu , Lingting Ge , Panqu Wang , Huei Peng

Picking up transparent objects is still a challenging task for robots. The visual properties of transparent objects such as reflection and refraction make the current grasping methods that rely on camera sensing fail to detect and localise…

Robotics · Computer Science 2022-08-23 Jiaqi Jiang , Guanqun Cao , Aaron Butterworth , Thanh-Toan Do , Shan Luo

Physical layer security is a field of study that continues to gain importance over time. It encompasses a range of algorithms applicable to various aspects of communication systems. While research in the physical layer has predominantly…

Signal Processing · Electrical Eng. & Systems 2023-07-17 Pol Henarejos , Ana I. Pérez-Neira

Nanostructured materials have recently emerged as a promising approach for material appearance design. Research has mainly focused on creating structural colours by wave interference, leaving aside other important aspects that constitute…

It is possible to attack a computer remotely through the front panel LEDs. Following on previous results that showed information leakage at optical wavelengths, now it seems practicable to inject information into a system as well. It is…

Cryptography and Security · Computer Science 2019-07-02 Joe Loughry

Face recognition remains a challenging task in unconstrained scenarios, especially when faces are partially occluded. To improve the robustness against occlusion, augmenting the training images with artificial occlusions has been proved as…

Computer Vision and Pattern Recognition · Computer Science 2022-01-19 Mingjie He , Jie Zhang , Shiguang Shan , Xiao Liu , Zhongqin Wu , Xilin Chen

The polarization state of the optical electromagnetic field lying several nanometers above complex dielectric structures reveals the intricate light-matter interaction that occurs in this near-field zone. This information can only be…

In undergraduate optics courses, diffraction gratings are studied extensively, generally within the scalar approximation. When the vector nature of light is taken into account, so-called polarization diffraction gratings have been proposed,…

Optics · Physics 2026-03-13 Massimo Santarsiero , J. C. G. de Sande , Gemma Piquero

Nonlinear optical phenomena are generally governed by geometry in matter systems, as they depend on the spatial arrangement of atoms within materials or molecules. Metasurfaces, through precisely designed geometries on a subwavelength…