Results 41 to 50 of about 2,912,057 (185)

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

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

Resume of Dr. Abiodun Okunola, Post harvest / Agricultural/ Renewable Engineering [PDF]

, 2022
This contains academic profile of Dr. Abiodun Okunola (Associate Professor, Department of Agricultural & Biosysytems Engineering, Landmark University ...
Okunola, Abiodun A.
core   +2 more sources

Facial Landmark Detection Based on Hierarchical Self-Attention Network [PDF]

Jisuanji gongcheng
Facial landmark detection, a key step in facial image processing, is commonly performed using the coordinate regression method based on deep neural networks, which has the advantage of fast processing speed.
Haochen XU, Manhua LIU
doaj   +1 more source

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

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

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

Learning-Based Coronal Spine Alignment Prediction Using Smartphone-Acquired Scoliosis Radiograph Images

IEEE Access, 2021
DICOM X-rays are not easily accessible for telemedicine, and existing learning-based automated Cobb angle (CA) predictions are not accurate on suboptimal X-ray images.
Teng Zhang, Yifei Li, Jason Pui Yin Cheung, Socrates Dokos, Kwan-Yee K. Wong   +4 more
doaj   +1 more source

Consonant Voicing Landmark Detection

, 2019
The landmark detection is the first step of a knowledge-based speech recognition system. For landmark detection, it is necessary to extract some useful landmark acoustic parameters.
Masashi Sugiyama
core   +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