most citedAutomatic Identification of Scenedesmus Polymorphic Microalgae from Microscopic Images

50 citations · 97 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2017★ 9 cited

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…

cs.CV2017★ 36 cited

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…

cs.CV2016★ 50 cited

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.…

cs.CV2016★ 2 cited

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…