What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Ecology
Oscar Pizarro focuses on Computer vision, Artificial intelligence, Underwater, Remotely operated underwater vehicle and Simultaneous localization and mapping.
His Computer vision research is multidisciplinary, incorporating perspectives in Kalman filter and Computer graphics.
His work in the fields of Artificial intelligence, such as Depth of field and Computational photography, intersects with other areas such as Aperture and Video denoising.
His Underwater study integrates concerns from other disciplines, such as Image segmentation, Scale, Robot, Remote sensing and Visualization.
The concepts of his Remotely operated underwater vehicle study are interwoven with issues in Stereopsis and Information filtering system.
His biological study spans a wide range of topics, including Continental shelf, Benthos and Climate change.
His most cited work include:
- Decoding, Calibration and Rectification for Lenselet-Based Plenoptic Cameras (357 citations)
- Generation and visualization of large-scale three-dimensional reconstructions from underwater robotic surveys (194 citations)
- Visually Augmented Navigation for Autonomous Underwater Vehicles (154 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Artificial intelligence, Computer vision, Underwater, Remote sensing and Oceanography.
As a part of the same scientific family, he mostly works in the field of Artificial intelligence, focusing on Machine learning and, on occasion, Classifier and Mixture model.
His Computer vision study combines topics from a wide range of disciplines, such as Simultaneous localization and mapping, Computer graphics, Robustness and Visualization.
His Underwater acoustics study, which is part of a larger body of work in Underwater, is frequently linked to High resolution, bridging the gap between disciplines.
Oscar Pizarro combines subjects such as Remotely operated underwater vehicle, Remotely operated vehicle, Bathymetry and Scale with his study of Remote sensing.
His Bathymetry research is multidisciplinary, incorporating elements of Terrain, Iterative reconstruction and Sonar.
He most often published in these fields:
- Artificial intelligence (43.04%)
- Computer vision (34.18%)
- Underwater (32.28%)
What were the highlights of his more recent work (between 2015-2020)?
- Oceanography (18.99%)
- Underwater (32.28%)
- Reef (15.82%)
In recent papers he was focusing on the following fields of study:
Oceanography, Underwater, Reef, Artificial intelligence and Coral reef are his primary areas of study.
Oscar Pizarro has researched Underwater in several fields, including Remote sensing, Vision based and Geodesy.
His study explores the link between Reef and topics such as Benthic zone that cross with problems in Sonar, Continental shelf, Marine engineering and Robotics.
Oscar Pizarro has included themes like Machine learning, Information retrieval and Computer vision in his Artificial intelligence study.
Particularly relevant to 3D reconstruction is his body of work in Computer vision.
His work carried out in the field of Coral reef brings together such families of science as Photogrammetry, Ecosystem and Coral.
Between 2015 and 2020, his most popular works were:
- BioTIME: A database of biodiversity time series for the Anthropocene (113 citations)
- True Color Correction of Autonomous Underwater Vehicle Imagery (64 citations)
- High-Resolution Underwater Robotic Vision-Based Mapping and Three-Dimensional Reconstruction for Archaeology (46 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Ecology
- Computer vision
The scientist’s investigation covers issues in Underwater, Reef, Oceanography, Coral reef and Artificial intelligence.
His studies deal with areas such as Current, Simultaneous localization and mapping and Scale, Geodesy as well as Underwater.
In the subject of general Oceanography, his work in Deep sea is often linked to Scientific drilling, thereby combining diverse domains of study.
His research investigates the link between Coral reef and topics such as Photogrammetry that cross with problems in Rugosity and Ecology.
The concepts of his Artificial intelligence study are interwoven with issues in Information retrieval, Thesaurus and Computer vision.
His biological study spans a wide range of topics, including Robot and Footprint.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
