80 citations · 259 across the 11 of their papers we have counts for
11 papers
Counting Cells in Time-Lapse Microscopy using Deep Neural Networks
Alexander Gomez Villa, Augusto Salazar, Igor Stefanini
An automatic approach to counting any kind of cells could alleviate work of the experts and boost the research in fields such as regenerative medicine. In this paper, a method for…
Automatic Recognition of Mammal Genera on Camera-Trap Images using Multi-Layer Robust Principal Component Analysis and Mixture Neural Networks
Jhony-Heriberto Giraldo-Zuluaga, Augusto Salazar, Alexander Gomez +1
The segmentation and classification of animals from camera-trap images is due to the conditions under which the images are taken, a difficult task. This work presents a method for…
Camera-trap images segmentation using multi-layer robust principal component analysis
Jhony-Heriberto Giraldo-Zuluaga, Alexander Gomez, Augusto Salazar +1
The segmentation of animals from camera-trap images is a difficult task. To illustrate, there are various challenges due to environmental conditions and hardware limitation in thes…
Automatic Identification of Scenedesmus Polymorphic Microalgae from Microscopic Images
Jhony-Heriberto Giraldo-Zuluaga, Geman Diez, Alexander Gomez +4
Microalgae counting is used to measure biomass quantity. Usually, it is performed in a manual way using a Neubauer chamber and expert criterion, with the risk of a high error rate.…
Semi-Supervised Recognition of the Diploglossus Millepunctatus Lizard Species using Artificial Vision Algorithms
Jhony-Heriberto Giraldo-Zuluaga, Augusto Salazar, Juan M. Daza
Animal biometrics is an important requirement for monitoring and conservation tasks. The classical animal biometrics risk the animals' integrity, are expensive for numerous animals…
Towards Automatic Wild Animal Monitoring: Identification of Animal Species in Camera-trap Images using Very Deep Convolutional Neural Networks
Alexander Gomez, Augusto Salazar, Francisco Vargas
Non intrusive monitoring of animals in the wild is possible using camera trapping framework, which uses cameras triggered by sensors to take a burst of images of animals in their h…
Automatic segmentation of lizard spots using an active contour model
Jhony Giraldo, Augusto Salazar
Animal biometrics is a challenging task. In the literature, many algorithms have been used, e.g. penguin chest recognition, elephant ears recognition and leopard stripes pattern re…
HMM and DTW for evaluation of therapeutical gestures using kinect
Carlos Palma, Augusto Salazar, Francisco Vargas
Automatic recognition of the quality of movement in human beings is a challenging task, given the difficulty both in defining the constraints that make a movement correct, and the…
A Markov Random Field and Active Contour Image Segmentation Model for Animal Spots Patterns
Alexander Gómez, German Díez, Jhony Giraldo +2
Non-intrusive biometrics of animals using images allows to analyze phenotypic populations and individuals with patterns like stripes and spots without affecting the studied subject…
Review of Statistical Shape Spaces for 3D Data with Comparative Analysis for Human Faces
Alan Brunton, Augusto Salazar, Timo Bolkart +1
With systems for acquiring 3D surface data being evermore commonplace, it has become important to reliably extract specific shapes from the acquired data. In the presence of noise…
Fully Automatic Expression-Invariant Face Correspondence
Augusto Salazar, Stefanie Wuhrer, Chang Shu +1
We consider the problem of computing accurate point-to-point correspondences among a set of human face scans with varying expressions. Our fully automatic approach does not require…