Results 31 to 40 of about 1,576,564 (201)
Deep Homography Estimation and Its Application to Wall Maps of Wall-Climbing Robots
When locating wall-climbing robots with vision-based methods, locating and controlling the wall-climbing robot in the pixel coordinate of the wall map is an effective alternative that eliminates the need to calibrate the internal and external parameters ...
Qiang Zhou, Xin Li
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Combining MEMS-based IMU data and vision-based trajectory estimation [PDF]
This paper presents an efficient location tracking algorithm that integrates vision-based motion estimation and IMU data. Orientation and translation parameters of the mobile device are estimated from video frames or highly overlapped image sequences ...
F. Tsai, H. Chang, A. Y. S. Su
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Homography-Based Change Detection for Space-Based Satellite Inspection
In order to maintain space situational awareness, it is necessary to maintain surveillance of objects in Earth orbit. A system of space-based imaging sensors could make much more detailed inspections of the existing resident space objects (RSOs). However,
Ryan L. Buffington +5 more
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Deeper understanding of the homography decomposition for vision-based control [PDF]
The displacement of a calibrated camera between two images of a planar object can be estimated by decomposing a homography matrix. The aim of this document is to propose a new method for solving the homography decomposition problem.
Vargas, Manuel, Malis, Ezio
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Combining Convolutional Neural Network and Photometric Refinement for Accurate Homography Estimation
Homography estimation refers to the problem of computing a 3 × 3 matrix which transfers image points between two images of a planar scene or two images captured from the same location. While existing algorithms exploiting hand-crafted sparse image
Lai Kang +4 more
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Facilitating PTZ Camera Auto-Calibration to Be Noise Resilient With Two Images
This paper presents a simple but effective technique to calibrate a PTZ (Pan/Tilt/Zoom) camera by using only two images for five intrinsic parameters: focal length, aspect ratio, the principle point coordinates and the distortion coefficient.
Rui Wang, Ran Huang, Jiaoru Yang
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STN-Homography: Direct Estimation of Homography Parameters for Image Pairs
Estimating a 2D homography from a pair of images is a fundamental task in computer vision. Contrary to most convolutional neural network-based homography estimation methods that use alternative four-point homography parameterization schemes, in this ...
Xin Li, Qiang Zhou
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Vein segmentation and projection correction constitute the core algorithms of an auxiliary venipuncture device, responding to accurate venous positioning to assist puncture and reduce the number of punctures and pain of patients.
Liukui Chen +4 more
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Self-Supervised deep homography estimation with invertibility constraints
Remarkable performance of the homography estimation has been achieved by the deep CNN based approaches. These homography estimation methods, more often than not, are supervised methods and rely too much on the ground truth annotations as they aim to ...
Wang, Xiang +4 more
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Homography Ranking Based on Multiple Groups of Point Correspondences
Homography mapping is often exploited to remove perspective distortion in images and can be estimated using point correspondences of a known object (marker). We focus on scenarios with multiple markers placed on the same plane if their relative positions
Milan Ondrašovič, Peter Tarábek
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