Results 31 to 40 of about 1,585,607 (194)
Study on Elimination Algorithms for Line Segment Mismatches
Image matching is a key step for remotely sensed image registration and digital elevation model (DEM) generation. Compared with point matching, few studies have focused on line matching for images, especially elimination algorithm of mismatched line ...
Chang Li, Wenqi Jia, Dong Wei
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A Registration Algorithm for Astronomical Images Based on Geometric Constraints and Homography
The registration of astronomical images, is one of the key technologies to improve the detection accuracy of small and weak targets during astronomical image-based observation.
Bin Lin +5 more
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In this paper, a novel video superresolution (SR) reconstruction approach using a coarse-to-fine registration and optimal interpolation strategy is proposed.
Zunshang Zhu +4 more
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The calibration of ultrasound probes is essential for three-dimensional ultrasound reconstruction and navigation. However, the existing calibration methods are often cumbersome and inadequate in accuracy.
Xuquan Ji +5 more
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Scene-based nonuniformity correction with homography transformation
Imaging, Inverse problems, Functional analysis, Blind ...
Peretz Yafin +2 more
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In intelligent transportation systems, vehicle speed estimation plays a vital role in traffic monitoring, speed enforcement, and autonomous vehicles.
Dea Angelia Kamil +3 more
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In the context of autonomous driving, the fusion of LiDAR and camera sensors is essential for robust obstacle detection and distance estimation. However, accurately estimating the transformation matrix between cost-effective low-resolution LiDAR and ...
Ravichandran Rajesh +1 more
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Food Classification and Meal Intake Amount Estimation through Deep Learning
This paper proposes a method to classify food types and to estimate meal intake amounts in pre- and post-meal images through a deep learning object detection network. The food types and the food regions are detected through Mask R-CNN.
Ji-hwan Kim +2 more
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Use of Hough Transform and Homography for the Creation of Image Corpora for Smart Agriculture
In the context of smart agriculture, developing deep learning models demands large and highquality datasets for training. However, the current lack of such datasets for specific crops poses a significant challenge to the progress of this field. This research proposes an automated method to facilitate the creation of training datasets through automated ...
Jose A. Brenes +3 more
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ACCURATE VEHICLE SPEED ESTIMATION FROM MONOCULAR CAMERA FOOTAGE [PDF]
A workflow is devised in this paper by which vehicle speeds are estimated semi-automatically via fixed DSLR camera. Deep learning algorithm YOLOv2 was used for vehicle detection, while Simple Online Realtime Tracking (SORT) algorithm enabled for tracking
D. Bell, W. Xiao, P. James
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