What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Statistics
Eric Marchand mainly focuses on Artificial intelligence, Computer vision, Visual servoing, Robustness and Robot.
His study in Augmented reality, Video tracking, Eye tracking, Tracking and Pose is carried out as part of his Artificial intelligence studies.
His Computer vision research is multidisciplinary, relying on both Computation and Mutual information.
Eric Marchand has included themes like Robotics, Visual control, Robust control, Mobile robot and Tracking system in his Visual servoing study.
His Robustness study combines topics from a wide range of disciplines, such as Image processing, Edge detection and Pixel.
His study in Robot is interdisciplinary in nature, drawing from both Manipulator, Task and Function.
His most cited work include:
- Real-time markerless tracking for augmented reality: the virtual visual servoing framework (354 citations)
- ViSP for visual servoing: a generic software platform with a wide class of robot control skills (330 citations)
- Pose Estimation for Augmented Reality: A Hands-On Survey (237 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Artificial intelligence, Computer vision, Visual servoing, Robustness and Pose.
His Artificial intelligence study frequently intersects with other fields, such as Computer graphics.
Computer vision and Robot are commonly linked in his work.
His Visual servoing research is multidisciplinary, incorporating perspectives in Pixel, Computation, Visual control and Motion control.
His work deals with themes such as Video tracking and Tracking system, which intersect with Robustness.
Eric Marchand works in the field of Pose, namely 3D pose estimation.
He most often published in these fields:
- Artificial intelligence (65.06%)
- Computer vision (63.46%)
- Visual servoing (34.29%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (65.06%)
- Computer vision (63.46%)
- Robot (12.18%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Artificial intelligence, Computer vision, Robot, Visual servoing and RGB color model.
Eric Marchand regularly ties together related areas like Interval arithmetic in his Artificial intelligence studies.
His biological study spans a wide range of topics, including Visualization and Planar.
His research in Robot intersects with topics in Artificial neural network and Convolutional neural network.
Eric Marchand combines subjects such as Feature extraction and Robotics with his study of Visual servoing.
His Eye tracking research integrates issues from Simultaneous localization and mapping and Robustness.
Between 2015 and 2021, his most popular works were:
- Pose Estimation for Augmented Reality: A Hands-On Survey (237 citations)
- Training Deep Neural Networks for Visual Servoing (46 citations)
- Histograms-Based Visual Servoing (26 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Statistics
The scientist’s investigation covers issues in Computer vision, Artificial intelligence, Augmented reality, Visual servoing and Robot.
His Computer vision study frequently draws connections between related disciplines such as Visualization.
Eric Marchand connects Artificial intelligence with Space debris in his research.
His Augmented reality research incorporates elements of Mobile interaction, Virtual prototyping, Computer graphics and Optical head-mounted display.
His Visual servoing research includes elements of Artificial neural network, Feature extraction, Convolutional neural network and Feature.
His work carried out in the field of Robustness brings together such families of science as Depth map, Deep learning and Robotics.
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