Results 51 to 60 of about 254,373 (189)

Ceph-Net: automatic detection of cephalometric landmarks on scanned lateral cephalograms from children and adolescents using an attention-based stacked regression network

open access: yesBMC Oral Health, 2023
Background The success of cephalometric analysis depends on the accurate detection of cephalometric landmarks on scanned lateral cephalograms. However, manual cephalometric analysis is time-consuming and can cause inter- and intra-observer variability ...
Su Yang   +5 more
doaj   +1 more source

Spatial learning through landmarks

open access: yes, 2021
To understand the interaction between individuals and the built environment, relevant attributes, and filtering mechanisms of how individuals perceive the built environment and act within this environment should be investigated. According to Golledge and Stimson (1997), the main psychological variables intervening between an environment and human ...
Cenani, Şehnaz, Timmermans, Harry
openaire   +2 more sources

Multiple Landmark Detection Using Multi-agent Reinforcement Learning [PDF]

open access: yes, 2019
Accepted in MICCAI 2019, Camera Ready ...
Vlontzos, A   +4 more
openaire   +3 more sources

Learning to Find Eye Region Landmarks for Remote Gaze Estimation in Unconstrained Settings

open access: yes, 2018
Conventional feature-based and model-based gaze estimation methods have proven to perform well in settings with controlled illumination and specialized cameras.
Honari Sina   +7 more
core   +1 more source

Evidence Consistent with the Multiple-Bearings Hypothesis from Human Virtual Landmark-Based Navigation

open access: yesFrontiers in Psychology, 2015
One approach to explaining the conditions under which additional landmarks will be learned or ignored relates to the nature of the information provided by the landmarks (i.e., distance versus bearings). In the current experiment, we tested the ability of
Martha R Forloines   +2 more
doaj   +1 more source

Visual Learning for Landmark Recognition

open access: yes, 1997
Recognizing landmark is a critical task for mobile robots. Landmarks are used for robot positioning, and for building maps of unknown environments. In this context, the traditional recognition techniques based on strong geometric models cannot be used.
Takeuchi, Yutaka   +3 more
openaire   +2 more sources

Bayesian Landmark Learning for Mobile Robot Localization [PDF]

open access: yesMachine Learning, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Mobile robot localization from learned landmarks [PDF]

open access: yesProceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190), 2002
Presents an approach to vision-based mobile robot localization. In an attempt to capitalize on the benefits of both image and landmark-based methods, we describe a method that combines their strengths. Images are encoded as a set of visual features called landmarks.
R. Sim, G. Dudek
openaire   +1 more source

You only Learn Once: Universal Anatomical Landmark Detection [PDF]

open access: yes, 2021
Accepted for MICCAI 2021, 11 pages, 2 figures, 2 ...
Zhu, Heqin   +3 more
openaire   +2 more sources

Automated landmark-based cat facial analysis and its applications

open access: yesFrontiers in Veterinary Science
Facial landmarks, widely studied in human affective computing, are beginning to gain interest in the animal domain. Specifically, landmark-based geometric morphometric methods have been used to objectively assess facial expressions in cats, focusing on ...
George Martvel   +9 more
doaj   +1 more source

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