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pro vyhledávání: '"Kang, Xueyang"'
Point cloud registration is a foundational task for 3D alignment and reconstruction applications. While both traditional and learning-based registration approaches have succeeded, leveraging the intrinsic symmetry of point cloud data, including rotat
Externí odkaz:
http://arxiv.org/abs/2410.05729
Autor:
Kang, Xueyang, Han, Fengze, Fayjie, Abdur R., Vandewalle, Patrick, Khoshelham, Kourosh, Gong, Dong
Most existing methods for depth estimation from a focal stack of images employ convolutional neural networks (CNNs) using 2D or 3D convolutions over a fixed set of images. However, their effectiveness is constrained by the local properties of CNN ker
Externí odkaz:
http://arxiv.org/abs/2310.11178
In this paper, we present a Computer Vision (CV) based tracking and fusion algorithm, dedicated to a 3D printed gimbal system on drones operating in nature. The whole gimbal system can stabilize the camera orientation robustly in a challenging nature
Externí odkaz:
http://arxiv.org/abs/2206.10981
This paper studies unsupervised monocular depth prediction problem. Most of existing unsupervised depth prediction algorithms are developed for outdoor scenarios, while the depth prediction work in the indoor environment is still very scarce to our k
Externí odkaz:
http://arxiv.org/abs/1911.08995
Autor:
Kang, Xueyang, Yuan, Shunying
Simultaneous mapping and localization (SLAM) in an real indoor environment is still a challenging task. Traditional SLAM approaches rely heavily on low-level geometric constraints like corners or lines, which may lead to tracking failure in texturele
Externí odkaz:
http://arxiv.org/abs/1909.13493
Publikováno v:
2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Auckland, New Zealand, 2018, pp. 292-297
Lidar is extensively used in the industry and mass-market. Due to its measurement accuracy and insensitivity to illumination compared to cameras, It is applied onto a broad range of applications, like geodetic engineering, self driving cars or virtua
Externí odkaz:
http://arxiv.org/abs/1803.09167