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Related papers: Flying Triangulation - towards the 3D movie camera

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This paper reports a new continuous 3D loss function for learning depth from monocular images. The dense depth prediction from a monocular image is supervised using sparse LIDAR points, which enables us to leverage available open source…

Computer Vision and Pattern Recognition · Computer Science 2020-08-11 Minghan Zhu , Maani Ghaffari , Yuanxin Zhong , Pingping Lu , Zhong Cao , Ryan M. Eustice , Huei Peng

Nonlinear lens distortion rectification is a common first step in image processing applications where the assumption of a linear camera model is essential. For rectifying the lens distortion, forward distortion model needs to be known.…

Computer Vision and Pattern Recognition · Computer Science 2017-07-05 Burak Benligiray , Cihan Topal

The fingerprint-copy attack aims to confuse camera identification based on sensor pattern noise. However, the triangle test shows that the forged images undergone fingerprint-copy attack would share a non-PRNU (Photo-response nonuniformity)…

Multimedia · Computer Science 2017-07-26 Haodong Li , Weiqi Luo , Quanquan Rao , Jiwu Huang

A key challenge for starshades is formation flying. To successfully image exoplanets, the telescope boresight and starshade must be aligned to ~1 m at separations of tens of thousands of kilometers. This challenge has two parts: first, the…

Instrumentation and Methods for Astrophysics · Physics 2020-01-30 Michael Bottom , Stefan Martin , Eric Cady , Megan C. Davis , Thibault Flinois , Dan Scharf , Carl Seubert , Shannon K. Zareh , Stuart Shaklan

For applications such as autonomous driving, self-localization/camera pose estimation and scene parsing are crucial technologies. In this paper, we propose a unified framework to tackle these two problems simultaneously. The uniqueness of…

Computer Vision and Pattern Recognition · Computer Science 2018-09-26 Peng Wang , Ruigang Yang , Binbin Cao , Wei Xu , Yuanqing Lin

We propose a fast and accurate method of 6D object pose estimation for bin-picking of mechanical parts by a robot manipulator. We extend the single-shot approach to stereo vision by application of attention architecture. Our convolutional…

Computer Vision and Pattern Recognition · Computer Science 2020-05-29 Yoshihiro Nakano

Light field cameras capture the 3D information in a scene with a single exposure. This special feature makes light field cameras very appealing for a variety of applications: from post-capture refocus, to depth estimation and image-based…

Computer Vision and Pattern Recognition · Computer Science 2018-08-01 Mattia Rossi , Pascal Frossard

Cameras capable of capturing videos at a trillion frames per second allow to freeze light in motion, a very counterintuitive capability when related to our everyday experience in which light appears to travel instantaneously. By combining…

Optics · Physics 2018-08-29 Daniele Faccio , Andreas Velten

Plane Wave imaging enables many applications that require high frame rates, including localisation microscopy, shear wave elastography, and ultra-sensitive Doppler. To alleviate the degradation of image quality with respect to conventional…

Signal Processing · Electrical Eng. & Systems 2021-12-24 Nishith Chennakeshava , Ben Luijten , Massimo Mischi , Yonina C. Eldar , Ruud J. G. van Sloun

Quality control is a critical aspect of manufacturing, particularly in ensuring the proper assembly of small components in production lines. Existing solutions often rely on single-view imaging or manual inspection, which are prone to…

Computer Vision and Pattern Recognition · Computer Science 2025-09-30 Ali Nazeri , Shashank Mishra , Achim Wagner , Martin Ruskowski , Didier Stricker , Jason Rambach

Research interest in rapid structured-light imaging has grown increasingly for the modeling of moving objects, and a number of methods have been suggested for the range capture in a single video frame. The imaging area of a 3D object using…

Computer Vision and Pattern Recognition · Computer Science 2015-09-01 Changsoo Je , Kwang Hee Lee , Sang Wook Lee

Monocular 3D estimation is crucial for visual perception. However, current methods fall short by relying on oversimplified assumptions, such as pinhole camera models or rectified images. These limitations severely restrict their general…

Computer Vision and Pattern Recognition · Computer Science 2025-03-24 Luigi Piccinelli , Christos Sakaridis , Mattia Segu , Yung-Hsu Yang , Siyuan Li , Wim Abbeloos , Luc Van Gool

Deep learning-based visual perception models lack robustness when faced with camera motion perturbations in practice. The current certification process for assessing robustness is costly and time-consuming due to the extensive number of…

Machine Learning · Computer Science 2024-03-05 Hanjiang Hu , Zuxin Liu , Linyi Li , Jiacheng Zhu , Ding Zhao

We present a robust multi-camera gymnast tracking, which has been applied at international gymnastics championships for gymnastics judging. Despite considerable progress in multi-camera tracking algorithms, tracking gymnasts presents unique…

Computer Vision and Pattern Recognition · Computer Science 2025-11-21 Fan Yang , Shigeyuki Odashima , Shoichi Masui , Ikuo Kusajima , Sosuke Yamao , Shan Jiang

Single-photon avalanche diodes (SPADs) are a rapidly developing image sensing technology with extreme low-light sensitivity and picosecond timing resolution. These unique capabilities have enabled SPADs to be used in applications like…

Image and Video Processing · Electrical Eng. & Systems 2020-12-16 Trevor Seets , Atul Ingle , Martin Laurenzis , Andreas Velten

Pairwise translation directions are a key input to camera location estimation in global structure-from-motion. Existing estimators usually process each image pair independently, producing directions that may be locally plausible but…

Computer Vision and Pattern Recognition · Computer Science 2026-05-11 Francisco Chen , Yiran Wang , Yunpeng Shi

We present a new algorithm for single camera 3D reconstruction, or 3D input for human-computer interfaces, based on precise tracking of an elongated object, such as a pen, having a pattern of colored bands. To configure the system, the user…

Computer Vision and Pattern Recognition · Computer Science 2018-09-14 Bernard Llanos , Yee-Hong Yang

A limitation of many compressive imaging architectures lies in the sequential nature of the sensing process, which leads to long sensing times. In this paper we present a novel architecture that uses fewer detectors than the number of…

Computer Vision and Pattern Recognition · Computer Science 2013-11-05 Tomas Björklund , Enrico Magli

The use of multiple camera technologies in a combined multimodal monitoring system for plant phenotyping offers promising benefits. Compared to configurations that only utilize a single camera technology, cross-modal patterns can be…

Computer Vision and Pattern Recognition · Computer Science 2024-07-04 Eric Stumpe , Gernot Bodner , Francesco Flagiello , Matthias Zeppelzauer

Non-invasive and single-shot holographic imaging through complex media is technically challenging due to random light scattering which significantly scrambles optical information. Recently, several methods have been presented to address…

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