High-resolution stereo video rectification through a cost-efficient real-time GPU implementation using intrinsic and extrinsic camera parameters

机译：通过使用内在和外在相机参数的经济高效的实时GPU实施，实现高分辨率立体声视频整流

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This paper describes a method to correct the distortions in the images captured by a stereo video camera rig. We developed a code which can be implemented both on CPUs and GPUs which are used respectively to process still images or videos. The processing scheme is centered on the pre-calculation of a deformation texture, based on the physical properties of the camera setup (intrinsic parameters). The pre-calculated texture contains deformation parameters for each pixel. The GPU implementation of our method is cost-efficient in terms of computer resources and can therefore be used to rectify high-resolution image pairs in real-time. Moreover, due to the pre-computation step, any camera model of arbitrary complexity can be used without impacting the execution frame rate.

机译：本文介绍了一种方法，可以纠正立体摄像机装置捕获的图像中的失真。我们开发了可以在分别用于处理静态图像或视频的CPU和GPU上实现的代码。该处理方案基于相机设置的物理属性（固有参数），以变形纹理的预先计算为中心。预先计算的纹理包含每个像素的变形参数。就计算机资源而言，我们方法的GPU实现具有成本效益，因此可用于实时校正高分辨率图像对。此外，由于预计算步骤，可以使用任意复杂度的任何相机模型，而不会影响执行帧速率。

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《Computational Intelligence in Virtual Environments, 2009. CIVE '09》|2009年|7-13|共7页
会议地点 Nashville TN(US);Nashville TN(US)
作者
Goslin F.; Schramm F.; Andriot C.; Bouchet A.; Richir S.;
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LAMPA, Arts et Metiers ParisTech, Angers;

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computer graphic equipment; image resolution; image texture; real-time systems; rendering (computer graphics); stereo image processing; video cameras; video signal processing; arbitrary complexity; deformation texture; extrinsic camera parameter; image rendering; intrinsic camera; real-time GPU implementation; stereo video camera rectification;

机译：计算机图形设备;图像分辨率;图像纹理;实时系统;渲染（计算机图形学）;立体图像处理;摄像机;视频信号处理;任意复杂性;变形纹理;外部摄像机参数;图像渲染;内部摄像机;实时实时GPU实施;立体视频摄像机校正;

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1. Real-time moving object detection algorithm on high-resolution videos using GPUs [J] . Kumar Praveen, Singhal Ayush, Mehta Sanyam, Journal of Real-Time Image Processing . 2016,第1期

机译：使用GPU的高分辨率视频实时运动目标检测算法
2. A self-calibration approach to extrinsic parameter estimation of stereo cameras [J] . Hanqi Zhuang Robotics and Autonomous Systems . 1995,第3期

机译：立体相机外部参数估计的自校准方法
3. Real-time implementation of moving object detection in UAV videos using GPUs [J] . Jaiswal Deepak, Kumar Praveen Journal of Real-Time Image Processing . 2020,第5期

机译：使用GPU的UAV视频中移动对象检测的实时实现
4. High-resolution stereo video rectification through a cost-efficient real-time GPU implementation using intrinsic and extrinsic camera parameters [C] . Fabien Goslin, Florian Schramm, Claude Andriot, IEEE Workshop on Computational Intelligence in Virtual Environments . 2009

机译：高分辨率立体声视频整流通过使用内在和外在相机参数实现成本高效的实时GPU实现
5. Real-time three-dimensional head position tracker system with stereo cameras using a face recognition neural network. [D] . Girado, Javier Ignacio. 2004

机译：使用面部识别神经网络的带有立体摄像机的实时三维头部位置跟踪器系统。
6. Automatic Chessboard Detection for Intrinsic and Extrinsic Camera Parameter Calibration [O] . Arturo de la Escalera, Jose María Armingol 2010

机译：自动棋盘检测功能用于内部和外部摄像机参数校准
7. Implementation of auto-rectification and depth estimation of stereo video in a real-time smart camera system [O] . Xinting Gao, Richard Kleihorst, Ben Schueler 2008

机译：实时智能相机系统中立体视频自动校正和深度估计的实现

High-resolution stereo video rectification through a cost-efficient real-time GPU implementation using intrinsic and extrinsic camera parameters

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