Zobrazeno 1 - 10
of 18 486
pro vyhledávání: '"Camera pose"'
Autor:
Dong, Siyan, Wang, Shuzhe, Liu, Shaohui, Cai, Lulu, Fan, Qingnan, Kannala, Juho, Yang, Yanchao
Visual localization aims to determine the camera pose of a query image relative to a database of posed images. In recent years, deep neural networks that directly regress camera poses have gained popularity due to their fast inference capabilities. H
Externí odkaz:
http://arxiv.org/abs/2412.08376
Despite the significant advancements made by Diffusion Transformer (DiT)-based methods in video generation, there remains a notable gap with controllable camera pose perspectives. Existing works such as OpenSora do NOT adhere precisely to anticipated
Externí odkaz:
http://arxiv.org/abs/2412.01429
This paper introduces BIMCaP, a novel method to integrate mobile 3D sparse LiDAR data and camera measurements with pre-existing building information models (BIMs), enhancing fast and accurate indoor mapping with affordable sensors. BIMCaP refines sen
Externí odkaz:
http://arxiv.org/abs/2412.03434
Autor:
Pruss, Alexander R.
We consider the problem of recovering the position and orientation of a camera equipped with an accelerometer from sensor images of two labeled landmarks whose positions in a coordinate system aligned in a known way with gravity are known. This a var
Externí odkaz:
http://arxiv.org/abs/2410.17997
Reconstructing endoscopic videos is crucial for high-fidelity visualization and the efficiency of surgical operations. Despite the importance, existing 3D reconstruction methods encounter several challenges, including stringent demands for accuracy,
Externí odkaz:
http://arxiv.org/abs/2409.01003
Image-to-point cloud registration seeks to estimate their relative camera pose, which remains an open question due to the data modality gaps. The recent matching-based methods tend to tackle this by building 2D-3D correspondences. In this paper, we r
Externí odkaz:
http://arxiv.org/abs/2408.02392
Accurate calibration of camera intrinsic parameters is crucial to various computer vision-based applications in the fields of intelligent systems, autonomous vehicles, etc. However, existing calibration schemes are incompetent for finding general tre
Externí odkaz:
http://arxiv.org/abs/2409.01171
Autor:
Liu, Changkun, Chen, Shuai, Bhalgat, Yash, Hu, Siyan, Cheng, Ming, Wang, Zirui, Prisacariu, Victor Adrian, Braud, Tristan
We leverage 3D Gaussian Splatting (3DGS) as a scene representation and propose a novel test-time camera pose refinement framework, GSLoc. This framework enhances the localization accuracy of state-of-the-art absolute pose regression and scene coordin
Externí odkaz:
http://arxiv.org/abs/2408.11085
Recovering camera poses from a set of images is a foundational task in 3D computer vision, which powers key applications such as 3D scene/object reconstructions. Classic methods often depend on feature correspondence, such as keypoints, which require
Externí odkaz:
http://arxiv.org/abs/2408.09042
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 27, Iss 4, Pp 743-752 (2024)
Augmented reality has a long research history in computer vision and computer graphics communities. It aims to enhance the user experience for real scenes via overlapping virtual objects. Nowadays, mobile augmented reality has attracted much attentio
Externí odkaz:
https://doaj.org/article/3a4ac43c9fac4817bb5bd792d6a81734
