Spatial calibration method for master-slave camera based on panoramic image mosaic

2019 ◽  
Vol 58 (04) ◽  
pp. 1
Author(s):  
Hao Shi ◽  
Xiaokang Lei ◽  
Fei Wan
Keyword(s):  
Calibration Method ◽  
Image Mosaic ◽  
Panoramic Image ◽  
Spatial Calibration

scholarly journals A Novel Ultrasound Probe Spatial Calibration Method Using a Combined Phantom and Stylus

2020 ◽  
Vol 46 (8) ◽  
pp. 2079-2089
Author(s):  
Tiexiang Wen ◽  
Cheng Wang ◽  
Yi Zhang ◽  
Shoujun Zhou
Keyword(s):  
Calibration Method ◽  
Ultrasound Probe ◽  
Spatial Calibration

Panoramic Image System Design in the Nearly Dark Environment

2013 ◽  
Vol 464 ◽  
pp. 304-309 ◽  
Author(s):  
Geng Chen ◽  
Qing Li ◽  
Hao Zhang
Keyword(s):  
Principal Component Analysis ◽  
Imaging System ◽  
Principal Component ◽  
Image Mosaic ◽  
Panoramic Image ◽  
Image System ◽  
Fusion Algorithm ◽  
Canny Operator ◽  
Image Edge ◽  
Wireless Module

Aiming at the need of borehole and ruins exploration in the nearly dark environment, a Panoramic Image System is proposed in this paper. consisting of a reciprocating motor, a steering gear with complete rotation, a miniature camera, a depth transducer and radio frequency wireless module. The camera was pushed to the specified location of the pipe by the motor and then the steering gear was rotated for panorama image acquisition. In order to achieve a seamless panoramic image without distortion, a fusion algorithm based on Principal Component Analysis (PCA) and an image mosaic algorithm for image edge extracting based on Canny operator were proposed. The imaging system has good usability and applicability.

A Spatial Calibration Method for Mixed Reality Devices

2021 ◽  
Author(s):  
Shun Su ◽  
Yinhui Wang ◽  
Yiwen Zhao ◽  
Xingang Zhao ◽  
Yang Luo ◽  
...  
Keyword(s):  
Mixed Reality ◽  
Calibration Method ◽  
Spatial Calibration

scholarly journals Optical Tweezers with Integrated Multiplane Microscopy (OpTIMuM): a new tool for 3D microrheology

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Andrew B. Matheson ◽  
Lynn Paterson ◽  
Amanda J. Wright ◽  
Tania Mendonca ◽  
Manlio Tassieri ◽  
...  
Keyword(s):  
Optical Tweezers ◽  
A Priori ◽  
Calibration Method ◽  
Three Dimensions ◽  
Image Sharpness ◽  
3D Tracking ◽  
Ideal System ◽  
Calibration Sample ◽  
Spatial Calibration ◽  
20 Nm

AbstractWe introduce a novel 3D microrheology system that combines for the first time Optical Tweezers with Integrated Multiplane Microscopy (OpTIMuM). The system allows the 3D tracking of an optically trapped bead, with ~ 20 nm accuracy along the optical axis. This is achieved without the need for a high precision z-stage, separate calibration sample, nor a priori knowledge of either the bead size or the optical properties of the suspending medium. Instead, we have developed a simple yet effective in situ spatial calibration method using image sharpness and exploiting the fact we image at multiple planes simultaneously. These features make OpTIMuM an ideal system for microrheology measurements, and we corroborate the effectiveness of this novel microrheology tool by measuring the viscosity of water in three dimensions, simultaneously.

scholarly journals Multimodal Spatial Calibration for Accurately Registering EEG Sensor Positions

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Jianhua Zhang ◽  
Jian Chen ◽  
Shengyong Chen ◽  
Gang Xiao ◽  
Xiaoli Li
Keyword(s):  
Source Localization ◽  
Depth Map ◽  
Human Head ◽  
Calibration Method ◽  
Multiple Views ◽  
Local Repair ◽  
Multimodal Sensors ◽  
Eeg Source Localization ◽  
Spatial Calibration ◽  
Sensor Positions

This paper proposes a fast and accurate calibration method to calibrate multiple multimodal sensors using a novel photogrammetry system for fast localization of EEG sensors. The EEG sensors are placed on human head and multimodal sensors are installed around the head to simultaneously obtain all EEG sensor positions. A multiple views’ calibration process is implemented to obtain the transformations of multiple views. We first develop an efficient local repair algorithm to improve the depth map, and then a special calibration body is designed. Based on them, accurate and robust calibration results can be achieved. We evaluate the proposed method by corners of a chessboard calibration plate. Experimental results demonstrate that the proposed method can achieve good performance, which can be further applied to EEG source localization applications on human brain.

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