Results 31 to 40 of about 48,274 (263)

Supervision by Registration and Triangulation for Landmark Detection [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI ...
Xuanyi Dong, Yi Yang, Shih-En Wei, Xinshuo Weng, Yaser Sheikh, Shoou-I Yu   +5 more
openaire   +3 more sources

Visible-to-Thermal Transfer Learning for Facial Landmark Detection

IEEE Access, 2021
There has been increasing interest in face recognition in the thermal infrared spectrum. A critical step in this process is face landmark detection. However, landmark detection in the thermal spectrum presents a unique set of challenges compared to in ...
Domenick D. Poster, Shuowen Hu, Nathan J. Short, Benjamin S. Riggan, Nasser M. Nasrabadi   +4 more
doaj   +1 more source

Deep Learning-Based Landmark Detection for Mobile Robot Outdoor Localization

Machines, 2019
Outdoor mobile robot applications generally implement Global Positioning Systems (GPS) for localization tasks. However, GPS accuracy in outdoor localization has less accuracy in different environmental conditions.
Sivapong Nilwong, Delowar Hossain, Shin-ichiro Kaneko, Genci Capi   +3 more
doaj   +1 more source

Landmark Detection In Hindustani Music Melodies

International Computer Music Conference/Sound and Music Computing Conference, 2014
This work is partly supported by the European Research Council under the European Union’s Seventh Framework Program, as part of the CompMusic project (ERC grant agreement 267583). J.S. acknowledges 2009-SGR-1434 from Generalitat de Catalunya, ICT-2011-8-318770 from the European Commission, JAEDOC069/2010 from CSIC, and European Social Funds.
Gulati, Sankalp, Serrà Julià, Joan, Ganguli, Kaustuv Kanti, Serra, Xavier   +3 more
openaire   +4 more sources

One-Shot Medical Landmark Detection [PDF]

, 2021
The success of deep learning methods relies on the availability of a large number of datasets with annotations; however, curating such datasets is burdensome, especially for medical images. To relieve such a burden for a landmark detection task, we explore the feasibility of using only a single annotated image and propose a novel framework named ...
Qingsong Yao, Quan Quan, Li Xiao 0005, S. Kevin Zhou   +3 more
openaire   +2 more sources

Optimization and Benchmarking of Image Segmentation for Improved Landmark Detection in Lower Limb X-Rays and Accurate Coronal Plane Alignment of the Knee Classification

IEEE Access
Recent studies have explored image segmentation for landmark detection in computer vision and medical imaging of the lower limb, showing promising results.
Sebastian Amador Sanchez, Ashkan Zarghami, Philippe van Overschelde, Jef Vandemeulebroucke   +3 more
doaj   +1 more source

Real Time Landmark Detection for Within- and Cross Subject Tracking With Minimal Human Supervision

IEEE Access, 2022
Landmark detection plays an important role for a variety of image processing and analysis tasks. Current methods rely on either supervised or semi-supervised learning which often requires large labeled training datasets.
Marcel Frueh, Andreas Schilling, Sergios Gatidis, Thomas Kuestner   +3 more
doaj   +1 more source

Fast Facial Landmark Detection and Applications: A Survey

Journal of Computer Science and Technology, 2022
Dense facial landmark detection is a key element of face processing pipeline. In this paper we survey and analyze modern neural-network-based facial landmark detection algorithms, focus on approaches that have led to a significant increase in quality ...
Kostiantyn Khabarlak, Larysa Koriashkina
doaj   +1 more source

Automatic Landmark Detection in Severe Craniomaxillofacial Deformities via Three-Dimensional (3D) Point Cloud Deformation Model and Deep Learning Networks

IEEE Access
The accurate and efficient detection of landmarks is crucial for diagnosing and treating CMF deformities, which often involve various structural abnormalities in bone structure displacement, defects, and facial asymmetry.
Meng Xu, Zhaoyang Luo, Bingyang Liu, Zhiyan Wang, Xiaojun Tang, Tao Song   +5 more
doaj   +1 more source

A Novel Face Frontalization Method by Seamlessly Integrating Landmark Detection and Decision Forest into Generative Adversarial Network (GAN)

Mathematics
In real-world scenarios, posture variation and low-quality image resolution are two well-known factors that compromise the accuracy and reliability of face recognition system.
Mahmood H. B. Alhlffee, Yea-Shuan Huang
doaj   +1 more source