What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer graphics
- Algorithm
Miguel A. Otaduy mostly deals with Algorithm, Set, Artificial intelligence, Computer vision and Computer graphics.
His Algorithm research is multidisciplinary, incorporating perspectives in Collision response, Collision detection, Virtual world and Sense of presence.
The concepts of his Collision detection study are interwoven with issues in Enhanced Data Rates for GSM Evolution, Haptic rendering and Haptic perception.
His research in Artificial intelligence intersects with topics in Motion and Animation.
His Computer graphics research is multidisciplinary, incorporating elements of Virtual reality and Haptic technology.
His Haptic technology study combines topics in areas such as Texture and Computational geometry.
His most cited work include:
- Design and fabrication of materials with desired deformation behavior (215 citations)
- Capture and modeling of non-linear heterogeneous soft tissue (152 citations)
- DiFi: Fast 3D Distance Field Computation Using Graphics Hardware (137 citations)
What are the main themes of his work throughout his whole career to date?
Miguel A. Otaduy mainly investigates Artificial intelligence, Computer vision, Haptic technology, Computer graphics and Rendering.
His study connects Nonlinear system and Artificial intelligence.
His Computer vision research integrates issues from Algorithm, Surface, Haptic display and Collision detection.
His work on Estimation theory as part of general Algorithm research is frequently linked to Set, thereby connecting diverse disciplines of science.
His Haptic technology study deals with Virtual reality intersecting with Multimedia.
His work on Rendering algorithms as part of general Rendering study is frequently connected to Virtual machine, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
He most often published in these fields:
- Artificial intelligence (33.76%)
- Computer vision (31.85%)
- Haptic technology (24.20%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (33.76%)
- Computer vision (31.85%)
- Haptic technology (24.20%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Artificial intelligence, Computer vision, Haptic technology, Link and Animation.
His study on Robotics and Representation is often connected to Motion capture as part of broader study in Artificial intelligence.
Computer vision is closely attributed to Convolutional neural network in his research.
His Haptic technology study introduces a deeper knowledge of Simulation.
In his work, Theoretical computer science and Computing Methodologies is strongly intertwined with Nonlinear system, which is a subfield of Link.
His research investigates the connection with Animation and areas like Learning based which intersect with concerns in Multimedia and Body shape.
Between 2018 and 2021, his most popular works were:
- Learning-Based Animation of Clothing for Virtual Try-On (50 citations)
- Real-time pose and shape reconstruction of two interacting hands with a single depth camera (31 citations)
- MakeSense: Automated Sensor Design for Proprioceptive Soft Robots. (14 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer graphics
- Algorithm
His primary areas of study are Link, Artificial intelligence, Animation, Convolutional neural network and Computer vision.
His Link research includes themes of Nonlinear system, Mixing, Theoretical computer science and Algebra.
With his scientific publications, his incorporates both Artificial intelligence and Motion capture.
His research in Animation focuses on subjects like Computing Methodologies, which are connected to Data-driven.
Miguel A. Otaduy has researched Convolutional neural network in several fields, including Artificial neural network, Tracking and Gesture.
His Computer vision study often links to related topics such as Robotics.
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