Results 91 to 100 of about 1,585,607 (194)
Binocular stereo observation with multi-source satellite images used to be challenging and impractical, but is now a valuable research issue with the introduction of powerful deep-learning-based stereo matching approaches.
Jingwen Hu, Gui-Song Xia, Hong Sun
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This study focuses on enforcing speed limits and detecting speed violations in an effort to reduce traffic accidents. Vehicle speed detection systems have become crucial in traffic law enforcement.
Fandisya Rahman +2 more
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The Technologies for African Agricultural Transformation (TAAT) Program was initiated by the African Development Bank (AfDB) as part of its Feed Africa Initiative.
Technologies for African Agricultural Transformation
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Wide baseline stereo matching is a challenging task because of the presence of significant geometric deformations and illumination changes within the images.
Huachao Yang, Mei Yu, Shubi Zhang
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Arxiv ...
Jinwoo Hwang, Philipp Benz, Pete Kim
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Vision-based Control for Car Platooning using Homography Decomposition *
International audienceIn this paper, we present a complete system for car platooning using visual tracking. The visual tracking is achieved by directly estimating the projective transformation (in our case a homography) between a selected reference ...
Rives, P. +3 more
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Novel Ways to Estimate Homography from Local Affine Transformations
Daniel Barath, Levente Hajder
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mosaic-library: A Python video mosaicking library specialised for seabed mapping
This paper presents mosaic-library, a Python software package designed for underwater mosaicking applications to manipulate and process seabed video data.
Fletcher Thompson +3 more
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Bayesian Filtering for Homography Estimation
This paper considers homography estimation in a Bayesian filtering framework using rate gyro and camera measurements. The use of rate gyro measurements facilitates a more reliable estimate of homography in the presence of occlusions, while a Bayesian ...
Bernal, Arturo Del Castillo +2 more
core
MGHE-Net: A Transformer-Based Multi-Grid Homography Estimation Network for Image Stitching
Image stitching is one of the research hotspots in the fields of computer vision and image processing. Existing methods typically use traditional algorithms or deep learning-based algorithms to achieve this task. However, traditional image stitching algorithms perform poorly in images with weak textures, dark light and multiple noises.
Yun Tang +3 more
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