What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Neuroscience
Artificial intelligence, Computer vision, Communication, Perception and Motion are his primary areas of study.
His Artificial intelligence research incorporates themes from Retina and Optical illusion.
His Computer vision research integrates issues from Saccade, Saccadic suppression of image displacement, Saccadic masking and Optics.
His Communication research includes themes of Visual perception, Robotics, Human–robot interaction and Position.
He focuses mostly in the field of Perception, narrowing it down to matters related to Eye movement and, in some cases, Visual Objects and Flow.
His work on Biological motion as part of general Motion study is frequently linked to Task, bridging the gap between disciplines.
His most cited work include:
- Perception of self-motion from visual flow (315 citations)
- Estimation of Detection Thresholds for Redirected Walking Techniques (299 citations)
- Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision? (238 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, Perception, Saccadic masking and Communication.
His work on Motion, Biological motion and Virtual reality as part of general Artificial intelligence study is frequently connected to Heading, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His research integrates issues of Flow and Visual perception in his study of Computer vision.
His studies deal with areas such as Illusion, Cognitive psychology, Cognition and Vestibular system as well as Perception.
His Saccadic masking research includes elements of Saccade and Adaptation.
His work deals with themes such as Visual cortex and Gaze, which intersect with Eye movement.
He most often published in these fields:
- Artificial intelligence (53.25%)
- Computer vision (50.41%)
- Perception (32.11%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (53.25%)
- Computer vision (50.41%)
- Perception (32.11%)
In recent papers he was focusing on the following fields of study:
Markus Lappe mainly focuses on Artificial intelligence, Computer vision, Perception, Saccadic masking and Eye movement.
The Artificial intelligence study combines topics in areas such as Self motion and Proprioception.
In his research, Markus Lappe undertakes multidisciplinary study on Computer vision and Path.
His Perception research includes elements of Depth of field, Speech recognition, Cognition and Object motion.
His work carried out in the field of Saccadic masking brings together such families of science as Saccade, Cognitive psychology, Adaptation and Visual feedback.
His Eye movement research incorporates elements of Visual perception and Gaze.
Between 2015 and 2021, his most popular works were:
- The Accuracy and Precision of Position and Orientation Tracking in the HTC Vive Virtual Reality System for Scientific Research (207 citations)
- In the blink of an eye: leveraging blink-induced suppression for imperceptible position and orientation redirection in virtual reality (43 citations)
- Visual Space Constructed by Saccade Motor Maps. (29 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Neuroscience
Markus Lappe mostly deals with Perception, Artificial intelligence, Computer vision, Eye movement and Adaptation.
The various areas that he examines in his Perception study include Facilitation and Speech recognition.
In the field of Artificial intelligence, his study on Virtual reality and Motion overlaps with subjects such as Offset, Scientific experiment and Ground plane.
His work deals with themes such as Visual perception and Gaze, which intersect with Eye movement.
His Adaptation research is multidisciplinary, incorporating perspectives in Curvature, Constant curvature and Rotation.
His Saccade research integrates issues from Efference copy and Visual space.
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