What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Computer graphics
His primary areas of study are Computer graphics, Artificial intelligence, Computer vision, Human–computer interaction and Animation.
Ken Perlin interconnects Stylus, Pixel and Text entry in the investigation of issues within Computer graphics.
His work on Artificial neural network and Inverse kinematics as part of general Artificial intelligence research is frequently linked to Fluid dynamics and Eulerian path, thereby connecting diverse disciplines of science.
The various areas that he examines in his Computer vision study include Classifier and Painting.
The Human–computer interaction study combines topics in areas such as Window, Active pen, Interface and Gesture.
He focuses mostly in the field of Animation, narrowing it down to matters related to Scripting language and, in some cases, Character, Multimedia, Set, Autonomous agent and Focus.
His most cited work include:
- An image synthesizer (1447 citations)
- Improv: a system for scripting interactive actors in virtual worlds (631 citations)
- Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks (569 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Human–computer interaction, Artificial intelligence, Virtual reality, Computer graphics and Multimedia.
His research integrates issues of User interface, Interface and Presentation in his study of Human–computer interaction.
His research investigates the link between Artificial intelligence and topics such as Computer vision that cross with problems in Surface.
His Computer graphics research integrates issues from Pixel and Painting.
His Pixel research is multidisciplinary, incorporating perspectives in Computer-generated imagery, Field and Texture mapping.
The concepts of his Multimedia study are interwoven with issues in Computer facial animation, Animation and Motion.
He most often published in these fields:
- Human–computer interaction (28.22%)
- Artificial intelligence (22.09%)
- Virtual reality (20.86%)
What were the highlights of his more recent work (between 2016-2020)?
- Virtual reality (20.86%)
- Human–computer interaction (28.22%)
- Multimedia (19.02%)
In recent papers he was focusing on the following fields of study:
Virtual reality, Human–computer interaction, Multimedia, Mixed reality and Physical medicine and rehabilitation are his primary areas of study.
He combines subjects such as Orientation, Visual arts and Set with his study of Virtual reality.
Ken Perlin studies Human–computer interaction, namely Augmented reality.
His study in Multimedia is interdisciplinary in nature, drawing from both Wireless sensor network, Representation, State, Experiential learning and Perspective.
Ken Perlin is investigating Optical head-mounted display as part of his Computer vision and Artificial intelligence and Optical head-mounted display study.
His Artificial intelligence study incorporates themes from Generalization and Linear system.
Between 2016 and 2020, his most popular works were:
- Accelerating eulerian fluid simulation with convolutional networks (144 citations)
- Spacetime: Enabling Fluid Individual and Collaborative Editing in Virtual Reality (21 citations)
- Challenges Using Head-Mounted Displays in Shared and Social Spaces (18 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Software
Ken Perlin spends much of his time researching Virtual reality, Human–computer interaction, Physical medicine and rehabilitation, Mixed reality and Oculus.
His Virtual reality research includes elements of Augmented reality, Agency, Perception, Focus and Haptic technology.
The study incorporates disciplines such as Robot, Bridging and Haptic user interfaces in addition to Human–computer interaction.
His research in Mixed reality intersects with topics in Citizen journalism, Movie theater, Key and Isolation.
Ken Perlin combines subjects such as Simulation and Simulator sickness with his study of Oculus.
Ken Perlin has researched Simulation in several fields, including Weighting and Headset.
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.
