Results 151 to 160 of about 2,912,057 (185)
Some of the next articles are maybe not open access.
Dogface Detection and Localization of Dogface’s Landmarks
2018The paper deals with an approach for a reliable dogface detection in an image using the convolutional neural networks. Two detectors were trained on a dataset containing 8351 real-world images of different dog breeds. The first detector achieved the average precision equal to 0.79 while running real-time on single CPU, the second one achieved the ...
Alzbeta Vlachynska +2 more
openaire +2 more sources
2013
We present a landmark detection method that detects a large number of anatomical structures efficiently in a medical image. The method consists of two steps. The first step performs nearest neighbor matching, which exploits holistic image context to quickly obtain coarse estimates of landmark positions.
David Liu, S. Kevin Zhou
openaire +1 more source
We present a landmark detection method that detects a large number of anatomical structures efficiently in a medical image. The method consists of two steps. The first step performs nearest neighbor matching, which exploits holistic image context to quickly obtain coarse estimates of landmark positions.
David Liu, S. Kevin Zhou
openaire +1 more source
Landmarks Detection by Applying Deep Networks
2018 1st International Conference on Multimedia Analysis and Pattern Recognition (MAPR), 2018Morphometric 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 +3 more
openaire +3 more sources
Facial landmark detection in uncontrolled conditions
2011 International Joint Conference on Biometrics (IJCB), 2011Facial landmark detection is a fundamental step for many tasks in computer vision such as expression recognition and face alignment. In this paper, we focus on the detection of landmarks under realistic scenarios that include pose, illumination and expression challenges as well as blur and low-resolution input.
Boris A. Efraty +3 more
openaire +2 more sources
Facial landmark configuration for improved detection
2012 IEEE International Workshop on Information Forensics and Security (WIFS), 2012In 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 +5 more
openaire +2 more sources
Visual Pathways for Detection of Landmark Points
2006We 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 +2 more
openaire +1 more source
Vascular Landmark Detection in Retinal Images
2009This 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 +3 more
openaire +2 more sources
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
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 +1 more
openaire +1 more source
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 +1 more
openaire +1 more source