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Camera calibration is a crucial technique which significantly influences the performance of many robotic systems. Robustness and high precision have always been the pursuit of diverse calibration methods. State-of-the-art calibration…

Computer Vision and Pattern Recognition · Computer Science 2023-05-02 Yesheng Zhang , Xu Zhao , Dahong Qian

We present a pixel recursive super resolution model that synthesizes realistic details into images while enhancing their resolution. A low resolution image may correspond to multiple plausible high resolution images, thus modeling the super…

Computer Vision and Pattern Recognition · Computer Science 2017-03-23 Ryan Dahl , Mohammad Norouzi , Jonathon Shlens

Visual navigation devices require precise calibration to achieve high-precision localization and navigation, which includes camera and attitude calibration. To address the limitations of time-consuming camera calibration and complex…

Computer Vision and Pattern Recognition · Computer Science 2025-02-26 Shunkun Liang , Dongcai Tan , Banglei Guan , Zhang Li , Guangcheng Dai , Nianpeng Pan , Liang Shen , Yang Shang , Qifeng Yu

Phase-retrieval from coded diffraction patterns (CDP) is important to X-ray crystallography, diffraction tomography and astronomical imaging, yet remains a hard, non-convex inverse problem. We show that CDP recovery can be reformulated…

We propose an approach for estimating the relative pose between calibrated image pairs by jointly exploiting points, lines, and their coincidences in a hybrid manner. We investigate all possible configurations where these data modalities…

Computer Vision and Pattern Recognition · Computer Science 2023-09-29 Petr Hruby , Shaohui Liu , Rémi Pautrat , Marc Pollefeys , Daniel Barath

Accurately calibrating light field camera is essential to its applications. Rapid progress has been made in this area in the past decades. In this paper, detailed analysis was first performed towards the state of the art projection models…

Computer Vision and Pattern Recognition · Computer Science 2021-03-11 Dongyang Jin , Saiping Zhang , Xiao Huo , Wei Zhang , Fuzheng Yang

We consider the problem of direction finding using partly calibrated arrays, a distributed subarray with position errors between subarrays. The key challenge is to enhance angular resolution in the presence of position errors. To achieve…

Signal Processing · Electrical Eng. & Systems 2022-12-12 Guangbin Zhang , Tianyao Huang , Yimin Liu , Xiqin Wang , Yonina C. Eldar

One of the basic parameters of a CCD camera is its gain, i.e. the number of detected electrons per output Analogue to Digital Unit (ADU). This is normally determined by finding the statistical variances from a series of flat-field exposures…

Instrumentation and Methods for Astrophysics · Physics 2021-01-28 J. Gordon Robertson

Accurate calibration of photodetectors both in analog and in photon-counting regime is fundamental for various scientific applications, which range from "traditional" quantum optics to the studies on foundations of quantum mechanics,…

Quantum Physics · Physics 2009-11-11 Giorgio Brida , Maria Chekhova , Marco Genovese , Alexander Penin , Ivano Ruo-Berchera

The capacitance of the charge collection node of a sensor system is an important parameter for the design of the analog front-end electronics. The analog front-end of high-granularity sensors like for example hybrid pixel detectors need to…

Instrumentation and Detectors · Physics 2021-03-24 H. Krüger , E. Kimmerle

Radiation detectors deployed as part of a large urban network or for homeland security monitoring must maintain reliable energy calibration even when subjected to substantial variations in temperature and ambient background radiation.…

Instrumentation and Detectors · Physics 2026-04-23 Marco Salathe , Nicolas Abgrall , Mark S. Bandstra , Tenzing H. Y. Joshi , Brian J. Quiter , Reynold J. Cooper

Existing calibration methods occasionally fail for large field-of-view cameras due to the non-linearity of the underlying problem and the lack of good initial values for all parameters of the used camera model. This might occur because a…

Computer Vision and Pattern Recognition · Computer Science 2021-10-29 Yaroslava Lochman , Kostiantyn Liepieshov , Jianhui Chen , Michal Perdoch , Christopher Zach , James Pritts

In the image processing pipeline of almost every digital camera there is a part dedicated to computational color constancy i.e. to removing the influence of illumination on the colors of the image scene. Some of the best known illumination…

Computer Vision and Pattern Recognition · Computer Science 2018-02-05 Nikola Banić , Sven Lončarić

Camera calibration is an essential first step in setting up 3D Computer Vision systems. Commonly used parametric camera models are limited to a few degrees of freedom and thus often do not optimally fit to complex real lens distortion. In…

Computer Vision and Pattern Recognition · Computer Science 2020-06-24 Thomas Schöps , Viktor Larsson , Marc Pollefeys , Torsten Sattler

This paper discusses a couple of approaches to removing instrument gain and baseline variation from observations of the CMB anisotropy. These techniques were tested on the COBE DMR data, a balloon experiment, and by monte carlo simulations.…

Astrophysics · Physics 2008-02-03 George F. Smoot

Image harmonization aims to adjust the foreground illumination in a composite image to make it harmonious. The existing harmonization methods can only produce one deterministic result for a composite image, ignoring that a composite image…

Computer Vision and Pattern Recognition · Computer Science 2024-07-23 Xinhao Tao , Tianyuan Qiu , Junyan Cao , Li Niu

Superpixel decomposition methods are widely used in computer vision and image processing applications. By grouping homogeneous pixels, the accuracy can be increased and the decrease of the number of elements to process can drastically…

Computer Vision and Pattern Recognition · Computer Science 2025-09-25 Rémi Giraud , Vinh-Thong Ta , Nicolas Papadakis

In four-dimensional scanning transmission electron microscopy (4D STEM) a focused beam is scanned over a specimen and a diffraction pattern is recorded at each position using a pixelated detector. During the experiment, it must be ensured…

Color constancy is the recovery of true surface color from observed color, and requires estimating the chromaticity of scene illumination to correct for the bias it induces. In this paper, we show that the per-pixel color statistics of…

Computer Vision and Pattern Recognition · Computer Science 2015-12-08 Ayan Chakrabarti

Calibration of sensors is fundamental to robust performance for intelligent vehicles. In natural environments, disturbances can easily challenge calibration. One possibility is to use natural objects of known shape to recalibrate sensors.…

Computer Vision and Pattern Recognition · Computer Science 2021-03-22 Yunhai Han , Yuhan Liu , David Paz , Henrik Christensen