What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Optics
His scientific interests lie mostly in Computer vision, Artificial intelligence, Computer hardware, Optics and Computer graphics.
His biological study deals with issues like Display device, which deal with fields such as Electronic document.
His work on Translation as part of his general Artificial intelligence study is frequently connected to Set, Scaling, Scalability and Scale, thereby bridging the divide between different branches of science.
His Computer hardware research is multidisciplinary, incorporating elements of Stylus and Feature.
His work in the fields of Lens, Detector and Waveguide overlaps with other areas such as Collimated light and Pressure sensing.
When carried out as part of a general Computer graphics research project, his work on Scrolling is frequently linked to work in Geography and Boundary, therefore connecting diverse disciplines of study.
His most cited work include:
- Interaction between objects and a virtual environment display (281 citations)
- Manual controlled scrolling (266 citations)
- Infrared sensor integrated in a touch panel (253 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Computer graphics, Computer hardware and Input device.
In general Artificial intelligence study, his work on Image, Projection, Image processing and Projector often relates to the realm of Set, thereby connecting several areas of interest.
In general Computer vision, his work in Object, Gesture, Image sensor and Tracking is often linked to Geography linking many areas of study.
His Computer graphics study integrates concerns from other disciplines, such as Frame, Pixel, Backlight and Display device.
His Wireless research extends to the thematically linked field of Computer hardware.
His research in Input device focuses on subjects like Electronic engineering, which are connected to Coupling.
He most often published in these fields:
- Artificial intelligence (27.46%)
- Computer vision (26.94%)
- Computer graphics (22.80%)
What were the highlights of his more recent work (between 2013-2020)?
- Artificial intelligence (27.46%)
- Computer vision (26.94%)
- Display device (11.92%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Artificial intelligence, Computer vision, Display device, Computer graphics and Human–computer interaction.
Steven Bathiche integrates Artificial intelligence and Geography in his studies.
His Display device study combines topics in areas such as Waveguide, Grating and Computer hardware.
In the subject of general Computer hardware, his work in Refresh rate is often linked to Component, thereby combining diverse domains of study.
The Computer graphics study combines topics in areas such as Image quality, Pixel, Focus and Stylus.
His research in Object intersects with topics in Silhouette and Gesture.
Between 2013 and 2020, his most popular works were:
- RetroDepth: 3D silhouette sensing for high-precision input on and above physical surfaces (25 citations)
- Cloud-based cross-device digital pen pairing (24 citations)
- Real-time three-dimensional reconstruction of a scene from a single camera (22 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Optics
Artificial intelligence, Computer vision, Human–computer interaction, Computer hardware and Display device are his primary areas of study.
His Artificial intelligence study frequently intersects with other fields, such as Natural language processing.
Much of his study explores Computer vision relationship to Computer graphics.
His work on Natural user interface and Cross device as part of general Human–computer interaction study is frequently connected to Nonverbal communication, Context and Pairing, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His work on Input device as part of general Computer hardware research is frequently linked to Calibration, bridging the gap between disciplines.
His work deals with themes such as 10-foot user interface, Shell and Gesture, which intersect with Display device.
This overview was generated by a machine learning system which analysed the scientist’s
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