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3D motion tracking is a critical task in many computer vision applications. Existing 3D motion tracking techniques require either a great amount of knowledge on the target object or specific hardware. These requirements discourage the wide…

Computer Vision and Pattern Recognition · Computer Science 2011-11-21 Luis Quesada , Alejandro J. León

In recent years smart glasses technology has rapidly advanced, opening up entirely new areas for mobile computing. We expect future smart glasses will need to be all-day wearable, adopting a small form factor to meet the requirements of…

Computer Vision and Pattern Recognition · Computer Science 2025-04-18 Michael Goesele , Daniel Andersen , Yujia Chen , Simon Green , Eddy Ilg , Chao Li , Johnson Liu , Grace Kuo , Logan Wan , Richard Newcombe

A wide choice of cinematic lenses enables motion-picture creators to adapt image visual-appearance to their creative vision. Such choice does not exist in the realm of real-time computer graphics, where only one type of perspective…

Graphics · Computer Science 2024-02-09 Jakub Maksymilian Fober

Object tracking is a key aspect in many applications such as augmented reality in medicine (e.g. tracking a surgical instrument) or robotics. Squared planar markers have become popular tools for tracking since their pose can be estimated…

Computer Vision and Pattern Recognition · Computer Science 2021-03-23 Hamid Sarmadi , Rafael Muñoz-Salinas , M. A. Berbís , R. Medina-Carnicer

The rotation of the casing and rotor of a gyroscope is studied by considering frictional effects. Friction causes the casing to rotate, and over time, air dissipation and friction at the touchpoint gradually stop this rotation. Several…

Classical Physics · Physics 2026-05-11 Vedat Tanrıverdi , Arda Erbasan

This work aims at the precise and efficient computation of the x-ray projection of an image represented by a linear combination of general shifted basis functions that typically overlap. We achieve this with a suitable adaptation of ray…

Image and Video Processing · Electrical Eng. & Systems 2025-09-15 Youssef Haouchat , Sepand Kashani , Philippe Thévenaz , Michael Unser

Computational photography involves sophisticated capture methods. A new trend is to capture projection of higher dimensional visual signals such as videos, multi-spectral data and lightfields on lower dimensional sensors. Carefully designed…

Computer Vision and Pattern Recognition · Computer Science 2011-09-12 Rohit Pandharkar , Ashok Veeraraghavan , Ramesh Raskar

Image stitching algorithms often adopt the global transformation, such as homography, and work well for planar scenes or parallax free camera motions. However, these conditions are easily violated in practice. With casual camera motions,…

Computer Vision and Pattern Recognition · Computer Science 2017-02-28 Tianzhu Xiang , Gui-Song Xia , Liangpei Zhang

The commonly used radial distortion model for camera calibration is in fact an assumption or a restriction. In practice, camera distortion could happen in a general geometrical manner that is not limited to the radial sense. This paper…

Computer Vision and Pattern Recognition · Computer Science 2016-08-31 Lili Ma , YangQuan Chen , Kevin L. Moore

A general relativistic description of a disk rotating at constant angular velocity is given. It is argued that conceptually this direct approach poses fewer problems than the special relativistic one. For observers on the disk, the geometry…

Popular Physics · Physics 2015-05-30 Klaus Kassner

Traffic light recognition is essential for fully autonomous driving in urban areas. In this paper, we investigate the feasibility of fooling traffic light recognition mechanisms by shedding laser interference on the camera. By exploiting…

Computer Vision and Pattern Recognition · Computer Science 2022-04-07 Chen Yan , Zhijian Xu , Zhanyuan Yin , Xiaoyu Ji , Wenyuan Xu

The quality of robot vision greatly affects the performance of automation systems, where occlusions stand as one of the biggest challenges. If the target is occluded from the sensor, detecting and grasping such objects become very…

Robotics · Computer Science 2021-09-01 Kentaro Yoshioka , Hidenori Okuni , Tuan Thanh Ta , Akihide Sai

The performance of modern object detectors drops when the test distribution differs from the training one. Most of the methods that address this focus on object appearance changes caused by, e.g., different illumination conditions, or gaps…

Computer Vision and Pattern Recognition · Computer Science 2023-01-16 Vidit Vidit , Martin Engilberge , Mathieu Salzmann

Reconstructing 3D geometry and appearance from a sparse set of fixed cameras is a foundational task with broad applications, yet it remains fundamentally constrained by the limited viewpoints. We show that this bound can be broken by…

Computer Vision and Pattern Recognition · Computer Science 2026-03-30 Ryosuke Hirai , Kohei Yamashita , Antoine Guédon , Ryo Kawahara , Vincent Lepetit , Ko Nishino

Sliding window approaches have been widely used for object recognition tasks in recent years. They guarantee an investigation of the entire input image for the object to be detected and allow a localization of that object. Despite the…

Computer Vision and Pattern Recognition · Computer Science 2018-08-07 Julian Müller , Andreas Fregin , Klaus Dietmayer

Longslit spectroscopy is entering an era of increased spatial and spectral resolution and increased sample size. Improved instruments reveal complex velocity structure that cannot be described with a one-dimensional rotation curve, yet…

Multi-camera systems are increasingly vital in the environmental perception of autonomous vehicles and robotics. Their physical configuration offers inherent fixed relative pose constraints that benefit Structure-from-Motion (SfM). However,…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Peilin Tao , Hainan Cui , Diantao Tu , Shuhan Shen

Tracking with a Pan-Tilt-Zoom (PTZ) camera has been a research topic in computer vision for many years. Compared to tracking with a still camera, the images captured with a PTZ camera are highly dynamic in nature because the camera can…

Computer Vision and Pattern Recognition · Computer Science 2017-12-05 Yucao Tang , Guillaume-Alexandre Bilodeau

Contacts between particles in dense, sheared suspensions are believed to underpin much of their rheology. Roughness and adhesion are known to constrain the relative motion of particles, and thus globally affect the shear response, but an…

Geometric calibration of cameras and projectors is an essential step that must be performed before any imaging system can be used. There are many well-known geometric calibration methods for calibrating systems comprised of multiple…

Computer Vision and Pattern Recognition · Computer Science 2024-10-25 Tomislav Petkovic , Simone Gasparini , Tomislav Pribanic