2D photos are great, but what about 3D imaging?
Sign Up to like & getrecommendations! Published in 2021 at "Graefe's Archive for Clinical and Experimental Ophthalmology"
DOI: 10.1007/s00417-021-05479-4
Abstract: Dear Editor, With great interest, we read the article “Analysis of surgical outcome after upper eyelid surgery by computer vision algorithm using face and facial landmark detection” by our highly appreciated colleagues İlke Bahçeci Şimşek… read more here.
Keywords: landmark; three dimensional; landmark detection; system ... See more keywords
Multi-task feature learning-based improved supervised descent method for facial landmark detection
Sign Up to like & getrecommendations! Published in 2018 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-017-1125-4
Abstract: Facial landmark detection has played an important role in many face understanding tasks, such as face verification, facial expression recognition, age estimation et al. Model initialization and feature extraction are crucial in supervised landmark detection.… read more here.
Keywords: multi task; detection; landmark detection; feature ... See more keywords
Real Time Landmark Detection for Within- and Cross Subject Tracking With Minimal Human Supervision
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3195211
Abstract: 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. Also, retrospective addition of… read more here.
Keywords: detection within; landmark; real time; time landmark ... See more keywords
Facial Landmark Detection With Learnable Connectivity Graph Convolutional Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3200037
Abstract: The conventional heatmap regression with deep networks has become one of the mainstream approaches for landmark detection. Despite their success, these methods do not exploit the overall landmarks structure. We present a new landmark detection… read more here.
Keywords: graph convolutional; network; structure; convolutional network ... See more keywords
Anthropometric Landmark Detection in 3D Head Surfaces Using a Deep Learning Approach
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2020.3035888
Abstract: Landmark labeling in 3D head surfaces is an important and routine task in clinical practice to evaluate head shape, namely to analyze cranial deformities or growth evolution. However, manual labeling is still applied, being a… read more here.
Keywords: head; landmark; landmark detection; anthropometric landmark ... See more keywords
Regressive Pseudo Label for Weakly Supervised Facial Landmark Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3162403
Abstract: The progress of the deep neural network and visual sensors promote the facial landmark detection. However, faces are easily collected from Internet of Things (IoT) devices worldwide but are hard-labeled facial landmarks in consistent style.… read more here.
Keywords: landmark detection; facial landmark; regressive pseudo;
Towards Unconstrained Facial Landmark Detection Robust to Diverse Cropping Manners
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2020.3006236
Abstract: Facial landmark detection is one crucial step for face-based image/video analysis. Despite the fact that recently many facial landmark detection models have achieved remarkable performance, most state-of-the-art heatmap regression-based methods heavily rely on initialization of… read more here.
Keywords: face images; facial landmark; landmark; landmark detection ... See more keywords
Misshapen Pelvis Landmark Detection With Local-Global Feature Learning for Diagnosing Developmental Dysplasia of the Hip
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2020.3008382
Abstract: Developmental dysplasia of the hip (DDH) is one of the most common orthopedic disorders in infants and young children. Accurately detecting and identifying the misshapen anatomical landmarks plays a crucial role in the diagnosis of… read more here.
Keywords: developmental dysplasia; pelvis; dysplasia hip; landmark detection ... See more keywords
Joint Cranial Bone Labeling and Landmark Detection in Pediatric CT Images using Context Encoding.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on medical imaging"
DOI: 10.1109/tmi.2023.3278493
Abstract: Image segmentation, labeling, and landmark detection are essential tasks for pediatric craniofacial evaluation. Although deep neural networks have been recently adopted to segment cranial bones and locate cranial landmarks from computed tomography (CT) or magnetic… read more here.
Keywords: labeling landmark; bone; cranial bone; bone labeling ... See more keywords
Regression‐Based Landmark Detection on Dynamic Human Models
Sign Up to like & getrecommendations! Published in 2017 at "Computer Graphics Forum"
DOI: 10.1111/cgf.13273
Abstract: Detecting anatomical landmarks on various human models with dynamic poses remains an important and challenging problem in computer graphics research. We present a novel framework that consists of two‐level regressors for finding correlations between human… read more here.
Keywords: landmark detection; regression; detection dynamic; human models ... See more keywords
Cloth manipulation based on category classification and landmark detection
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Advanced Robotic Systems"
DOI: 10.1177/17298806221110445
Abstract: Cloth manipulation remains a challenging problem for the robotic community. Recently, there has been an increased interest in applying deep learning techniques to problems in the fashion industry. As a result, large annotated data sets… read more here.
Keywords: category classification; cloth manipulation; manipulation; classification landmark ... See more keywords