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Related papers: Invisibility System Using Image Processing and Opt…

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Being able to see beyond the direct line of sight is an intriguing prospective and could benefit a wide variety of important applications. Recent work has demonstrated that time-resolved measurements of indirect diffuse light contain…

Graphics · Computer Science 2019-10-24 Julian Iseringhausen , Matthias B. Hullin

We construct a subset $A$ of the unit disc with the following properties. (i) The set $A$ is the finite union of disjoint line segments. (ii) The shadow of $A$ is arbitrarily close to the shadow of the unit disc in "most" directions. (iii)…

Metric Geometry · Mathematics 2014-02-26 Krzysztof Burdzy , Tadeusz Kulczycki

Our brain can effortlessly recognize objects even when partially hidden from view. Seeing the visible of the hidden is called amodal completion; however, this task remains a challenge for generative AI despite rapid progress. We propose to…

Computer Vision and Pattern Recognition · Computer Science 2023-12-27 Katherine Xu , Lingzhi Zhang , Jianbo Shi

Mathematically representing the shape of an object is a key ingredient for solving inverse rendering problems. Explicit representations like meshes are efficient to render in a differentiable fashion but have difficulties handling topology…

Graphics · Computer Science 2022-07-12 Guangyan Cai , Kai Yan , Zhao Dong , Ioannis Gkioulekas , Shuang Zhao

By analyzing the motion of people and other objects in a scene, we demonstrate how to infer depth, occlusion, lighting, and shadow information from video taken from a single camera viewpoint. This information is then used to composite new…

Computer Vision and Pattern Recognition · Computer Science 2020-07-21 Yifan Wang , Brian Curless , Steve Seitz

An optical imaging system forms an object image by recollecting light scattered by the object. However, intact optical information of the object delivered through the imaging system is deteriorated by imperfect optical elements and unwanted…

Optics · Physics 2017-03-28 SangYun Lee , Kyeoreh Lee , Seungwoo Shin , YongKeun Park

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

Recent work has shown that diffusion models can serve as powerful neural rendering engines that can be leveraged for inserting virtual objects into images. However, unlike typical physics-based renderers, these neural rendering engines are…

Computer Vision and Pattern Recognition · Computer Science 2025-12-12 Frédéric Fortier-Chouinard , Zitian Zhang , Louis-Etienne Messier , Mathieu Garon , Anand Bhattad , Jean-François Lalonde

Face recognition presents a challenging problem in the field of image analysis and computer vision. The security of information is becoming very significant and difficult. Security cameras are presently common in airports, Offices,…

Computer Vision and Pattern Recognition · Computer Science 2014-03-04 Divyarajsinh N. Parmar , Brijesh B. Mehta

There is a growing privacy concern due to the popularity of social media and surveillance systems, along with advances in face recognition software. However, established image obfuscation techniques are either vulnerable to…

Computer Vision and Pattern Recognition · Computer Science 2021-04-07 Tao Li , Min Soo Choi

Designing invisible objects without the usage of extreme materials is a long-sought goal for photonic applications. Invisibility techniques demonstrated so far typically require high anisotropy, gain and losses, while also not being…

Optics · Physics 2018-07-18 Zeki Hayran , Ramon Herrero , Muriel Botey , Hamza Kurt , Kestutis Staliunas

Image composition involves inserting a foreground object into the background while synthesizing environment-consistent effects such as shadows and reflections. Although shadow generation has been extensively studied, reflection generation…

Computer Vision and Pattern Recognition · Computer Science 2026-04-03 Haonan Zhao , Qingyang Liu , Jiaxuan Chen , Li Niu

Image sensors hold a pivotal role in society due to their ability to capture vast amounts of information. Traditionally, image sensors are opaque due to light absorption in both the pixels and the read-out electronics that are stacked on…

Given a video and a set of input object masks, an omnimatte method aims to decompose the video into semantically meaningful layers containing individual objects along with their associated effects, such as shadows and reflections. Existing…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Yao-Chih Lee , Erika Lu , Sarah Rumbley , Michal Geyer , Jia-Bin Huang , Tali Dekel , Forrester Cole

Recent advancements in large generative models, particularly diffusion-based methods, have significantly enhanced the capabilities of image editing. However, achieving precise control over image composition tasks remains a challenge.…

Computer Vision and Pattern Recognition · Computer Science 2024-11-28 Jinrui Yang , Qing Liu , Yijun Li , Soo Ye Kim , Daniil Pakhomov , Mengwei Ren , Jianming Zhang , Zhe Lin , Cihang Xie , Yuyin Zhou

In order to operate autonomously, a robot should explore the environment and build a model of each of the surrounding objects. A common approach is to carefully scan the whole workspace. This is time-consuming. It is also often impossible…

Computer Vision and Pattern Recognition · Computer Science 2019-03-19 Karol Piaskowski , Rafal Staszak , Dominik Belter

Decomposing geometry, materials and lighting from a set of images, namely inverse rendering, has been a long-standing problem in computer vision and graphics. Recent advances in neural rendering enable photo-realistic and plausible inverse…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Silong Yong , Venkata Nagarjun Pudureddiyur Manivannan , Bernhard Kerbl , Zifu Wan , Simon Stepputtis , Katia Sycara , Yaqi Xie

In applications such as optical see-through and projector augmented reality, producing images amounts to solving non-negative image generation, where one can only add light to an existing image. Most image generation methods, however, are…

Computer Vision and Pattern Recognition · Computer Science 2022-02-02 Katie Luo , Guandao Yang , Wenqi Xian , Harald Haraldsson , Bharath Hariharan , Serge Belongie

Color encoding of depth is shown to occur naturally in images of objects observed through diffraction gratings under common white light illumination. A synthetic image is then obtained from a single point of view, a phenomenon that can be…

Optics · Physics 2007-05-23 J. J. Lunazzi

After a survey for person-tracking system-induced privacy concerns, we propose a black-box adversarial attack method on state-of-the-art human detection models called InvisibiliTee. The method learns printable adversarial patterns for…

Computer Vision and Pattern Recognition · Computer Science 2022-08-16 Yaxian Li , Bingqing Zhang , Guoping Zhao , Mingyu Zhang , Jiajun Liu , Ziwei Wang , Jirong Wen
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