Results 231 to 240 of about 48,274 (263)

Facial landmark configuration for improved detection

2012 IEEE International Workshop on Information Forensics and Security (WIFS), 2012
In this paper, we present two methods to improve the performance of landmark detection algorithms that are designed to detect individual landmarks. We focus on the landmark configuration module that takes the output of the individual landmark detectors and searches for a configuration of optimal landmark locations based on appropriate shape constraints.
Chengwei Huang, Boris A. Efraty, Uday Kurkure, Manos Papadakis, Shishir K. Shah, Ioannis A. Kakadiaris   +5 more
openaire   +1 more source

Landmarks Detection by Applying Deep Networks

2018 1st International Conference on Multimedia Analysis and Pattern Recognition (MAPR), 2018
Morphometric analysis is a general method applied to organisms and used to appreciate the covariances between the ecological factors and the organisms (shape, size, form,...) in which, landmark-based morphometry is known as one of the approaches to analyze the characteristics of organisms.
Van Linh Le, Marie Beurton-Aimar, Akka Zemmari, Nicolas Parisey   +3 more
openaire   +3 more sources

Visual Pathways for Detection of Landmark Points

2006
We describe a neuron multi-layered architecture that extracts landmark points of high curvature from 2d shapes and resembles the visual pathway of primates. We demonstrate how the rotated orientation specific receptive fields of the simple neurons that were discovered by Hubel and Wiesel can perform landmark point detection on the 2d contour of the ...
Konstantinos Raftopoulos, Nikolaos Papadakis, Klimis S. Ntalianis   +2 more
openaire   +1 more source

Vascular Landmark Detection in Retinal Images

2009
This paper describes a methodology for the detection of landmark points in the retinal vascular tree using eye fundus images. The procedure is fully automatic and is based in modified order filters, morphological operators and local analysis along the vascular tree. The results show a detection rate of 90% approx.
Marcos Ortega 0001, José Rouco, Jorge Novo, Manuel G. Penedo   +3 more
openaire   +1 more source

Landmark Detection Cam

2016
El projecte aporta una solució perquè els robots autònoms siguin capaços d'orientar-se en el seu entorn. Per a complir aquest objectiu es faran servir unes marques o etiquetes col·locades per l'entorn on és mourà el robot i una càmera USB per tal que el robot sigui capaç de llegir aquestes marques. Un dels punts importants del projecte és el fet que el
Giménez Gallardo, Germán, Universitat Autònoma de Barcelona. Escola d'Enginyeria   +1 more
openaire   +1 more source

Unsupervised Landmark Detection

Unsupervised landmark detection (ULD) remains a formidable challenge within computer vision. Traditionally, landmark detection has relied on supervised or semi-supervised approaches. However, these models often overlook the significant challenge of manual dataset annotation, which is both time-consuming and labor-intensive.
openaire   +1 more source

Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification

Medical Image Analysis, 2022
Bulat Ibragimov, Tomaz Vrtovec, Imad Eddine Ibrahim Bekkouch   +2 more
exaly  

Precise Facial Landmark Detection by Reference Heatmap Transformer

IEEE Transactions on Image Processing, 2023
, Wenwen Min
exaly  

Towards Unconstrained Facial Landmark Detection Robust to Diverse Cropping Manners

IEEE Transactions on Circuits and Systems for Video Technology, 2021
Xu Zou, Luxin Yan, Zhong Sheng
exaly  

A Coarse-to-Fine Facial Landmark Detection Method Based on Self-attention Mechanism

IEEE Transactions on Multimedia, 2021
Pengcheng Gao, Ling Shao, Jian Xue
exaly