Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Zahra Kamranian"'
Publikováno v:
Applied Intelligence. 51:3581-3599
Camera pose estimation in robotic applications is paramount. Most of recent algorithms based on convolutional neural networks demonstrate that they are able to predict the camera pose adequately. However, they usually suffer from the computational co
Publikováno v:
Neural Computing and Applications. 32:4073-4091
This paper presents a video object segmentation method which jointly uses motion boundary and convolutional neural network (CNN)-based class-level maps to carry out the co-segmentation of the frames. The key characteristic of the proposed approach is
Publikováno v:
Applied Intelligence. 48:5019-5036
This paper introduces a novel iterative approach for interactive single or multiple foreground co-segmentation using semantic information. A quadratic cost function based on a graph model is proposed. The cost function includes a ‘smoothness’ and
Publikováno v:
Journal of Medical Robotics Research. :2150001
In this paper, the application of a robotic arm for needle-based medical interventions under a preoperative CT-scan is investigated. The proposed setup consists of a robot manipulator with a customized needle guide mounted on its end-effector. A work
Publikováno v:
Computers & Electrical Engineering. 39:1970-1979
In Iran like many other countries, the categorization of postal envelopes is executed manually, mostly based on the handwritten addresses and zip codes. That process is still slow and prone to man-made errors. Therefore, having an automated, accurate
Publikováno v:
IROS
The problem of image based visual servoing for robots working in a cluttered dynamic environment is addressed in this paper. It is assumed that the environment is observed by depth sensors which allow to measure the distance between any moving obstac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83921c129c98e8141276f6d765e06fdd
http://hdl.handle.net/11588/632922
http://hdl.handle.net/11588/632922