Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Kyungdon Joo"'
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-18
Publikováno v:
IEEE Robotics and Automation Letters. 7:5095-5102
Publikováno v:
IEEE Robotics and Automation Letters. 7:2613-2620
Publikováno v:
International Journal of Computer Vision. 130:384-404
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 42:2656-2669
In this work, we describe man-made structures via an appropriate structure assumption, called the Atlanta world assumption , which contains a vertical direction (typically the gravity direction) and a set of horizontal directions orthogonal to the ve
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 44(11)
We propose a new linear RGB-D simultaneous localization and mapping (SLAM) formulation by utilizing planar features of the structured environments. The key idea is to understand a given structured scene and exploit its structural regularities such as
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 44(9)
Taking selfies has become one of the major photographic trends of our time. In this study, we focus on the selfie stick, on which a camera is mounted to take selfies. We observe that a camera on a selfie stick typically travels through a particular t
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 41:775-787
Structure from small motion has become an important topic in 3D computer vision as a method for estimating depth, since capturing the input is so user-friendly. However, major limitations exist with respect to the form of depth uncertainty, due to th
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 41:682-696
Most man-made environments, such as urban and indoor scenes, consist of a set of parallel and orthogonal planar structures. These structures are approximated by the Manhattan world assumption, in which notion can be represented as a Manhattan frame (