Zobrazeno 1 - 10
of 442
pro vyhledávání: '"Kin Man Lam"'
Publikováno v:
Sensors, Vol 24, Iss 2, p 421 (2024)
Compliance control strategies have been utilised for the ultraprecision polishing process for many years. Most researchers execute active compliance control strategies by employing impedance control law on a robot development platform. However, these
Externí odkaz:
https://doaj.org/article/0e5f316b04264d84a65abbcc7ec70758
Publikováno v:
IEEE Access, Vol 10, Pp 30716-30729 (2022)
Object detection can locate objects in an image using bounding boxes, which can facilitate classification and image understanding, resulting in a wide range of applications. Knowing how to mine useful features from images and detect objects of differ
Externí odkaz:
https://doaj.org/article/88f2fdcc949f46328808d475e4be2a9f
Publikováno v:
IET Image Processing, Vol 15, Iss 12, Pp 2841-2853 (2021)
Abstract Face hallucination is a super‐resolution technique specially designed to reconstruct high‐resolution faces from low‐resolution faces. Most state‐of‐the‐art algorithms leverage position‐patch prior knowledge of human faces to be
Externí odkaz:
https://doaj.org/article/00012910a94545fbb132348821d198c5
Publikováno v:
IET Image Processing, Vol 15, Iss 8, Pp 1745-1758 (2021)
Abstract Studying representation learning and generative modelling has been at the core of the 3D learning domain. By leveraging the generative adversarial networks and convolutional neural networks for point‐cloud representations, we propose a nov
Externí odkaz:
https://doaj.org/article/2a7253277b2345b5b90e0ebc05424601
Publikováno v:
IEEE Access, Vol 8, Pp 53203-53214 (2020)
Identifying tiny objects with extremely low resolution is generally considered a very challenging task even for human vision, due to limited information presented inside the object areas. There have been very limited attempts in recent years to deal
Externí odkaz:
https://doaj.org/article/e4900e747b334738892afd272c81bf9a
Publikováno v:
IEEE Access, Vol 8, Pp 9347-9357 (2020)
How to design an effective membership probability is an important component for Gaussian mixture model (GMM) of point set registration. In order to improve the robustness of point set registration, in this paper, a new representation is proposed for
Externí odkaz:
https://doaj.org/article/5c27fbacc91b471b82809484cddc35e2
Publikováno v:
IEEE Access, Vol 8, Pp 157391-157402 (2020)
Almost all successful nodule detectors rely heavily on a fixed set of anchor boxes. In this paper, inspired by the success of the keypoint estimation method in natural image detection, we propose an anchor-free framework for accurate pulmonary nodule
Externí odkaz:
https://doaj.org/article/89f123055c164e7890b8e7c931407b96
Publikováno v:
IEEE Access, Vol 7, Pp 180451-180466 (2019)
Visual tracking is a challenging task due to unconstrained appearance variations and dynamic surrounding backgrounds, which basically arise from the complex motion of the target object. Therefore, the information and the correlation between the targe
Externí odkaz:
https://doaj.org/article/d2bc87bf8c62472c992fe95d158a4495
Publikováno v:
IEEE Access, Vol 7, Pp 164246-164255 (2019)
Due to some unfavorable factors, how to accurately register point sets is still a challenging task. In this paper, an effective point set registration approach is proposed based on a hybrid structure constrain. In the proposed method, a composite wei
Externí odkaz:
https://doaj.org/article/4cdf1231a562454d9babfb8bebad7d8a
Publikováno v:
IEEE Access, Vol 7, Pp 145013-145021 (2019)
Non-Rigid Structure from Motion (NRSfM) is the task of reconstructing the 3D point set of a non-rigid object from an ensemble of images with 2D correspondences, which has been a long-lasting challenging research topic. Compared to the state-of-the-ar
Externí odkaz:
https://doaj.org/article/bc55e626f03c413280d8de084c7cb8f8