Zobrazeno 1 - 10
of 151
pro vyhledávání: '"Jin, Linyi"'
This paper introduces 3DFIRES, a novel system for scene-level 3D reconstruction from posed images. Designed to work with as few as one view, 3DFIRES reconstructs the complete geometry of unseen scenes, including hidden surfaces. With multiple view in
Externí odkaz:
http://arxiv.org/abs/2403.08768
Autor:
Rockwell, Chris, Kulkarni, Nilesh, Jin, Linyi, Park, Jeong Joon, Johnson, Justin, Fouhey, David F.
Estimating relative camera poses between images has been a central problem in computer vision. Methods that find correspondences and solve for the fundamental matrix offer high precision in most cases. Conversely, methods predicting pose directly usi
Externí odkaz:
http://arxiv.org/abs/2403.03221
We introduce a method that can learn to predict scene-level implicit functions for 3D reconstruction from posed RGBD data. At test time, our system maps a previously unseen RGB image to a 3D reconstruction of a scene via implicit functions. While imp
Externí odkaz:
http://arxiv.org/abs/2306.08671
Autor:
Jin, Linyi, Zhang, Jianming, Hold-Geoffroy, Yannick, Wang, Oliver, Matzen, Kevin, Sticha, Matthew, Fouhey, David F.
Geometric camera calibration is often required for applications that understand the perspective of the image. We propose perspective fields as a representation that models the local perspective properties of an image. Perspective Fields contain per-p
Externí odkaz:
http://arxiv.org/abs/2212.03239
We present an approach for the planar surface reconstruction of a scene from images with limited overlap. This reconstruction task is challenging since it requires jointly reasoning about single image 3D reconstruction, correspondence between images,
Externí odkaz:
http://arxiv.org/abs/2208.04307
We propose to investigate detecting and characterizing the 3D planar articulation of objects from ordinary videos. While seemingly easy for humans, this problem poses many challenges for computers. We propose to approach this problem by combining a t
Externí odkaz:
http://arxiv.org/abs/2203.16531
Autor:
Feng, Hongbo, Jin, Linyi, Chen, Yongfeng, Ji, Junchao, Gong, Zhen, Hu, Wangxian, Ying, Chao, Liang, Yifan, Li, Jun
Publikováno v:
In Journal of Environmental Management November 2024 370
The paper studies planar surface reconstruction of indoor scenes from two views with unknown camera poses. While prior approaches have successfully created object-centric reconstructions of many scenes, they fail to exploit other structures, such as
Externí odkaz:
http://arxiv.org/abs/2103.14644
This paper studies the problem of 3D volumetric reconstruction from two views of a scene with an unknown camera. While seemingly easy for humans, this problem poses many challenges for computers since it requires simultaneously reconstructing objects
Externí odkaz:
http://arxiv.org/abs/2007.13727
Object search -- the problem of finding a target object in a cluttered scene -- is essential to solve for many robotics applications in warehouse and household environments. However, cluttered environments entail that objects often occlude one anothe
Externí odkaz:
http://arxiv.org/abs/1907.08770