What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Operating system
Kenneth A. Parulski mainly focuses on Computer vision, Artificial intelligence, Image sensor, Digital image and Computer graphics.
His study in Image processing, Image, Digital image processing, Color image and Image resolution falls within the category of Computer vision.
He combines subjects such as Signal and Optics with his study of Artificial intelligence.
His studies in Image sensor integrate themes in fields like Computer hardware, Still camera, Lens, Camera interface and Digital camera.
His Digital image study combines topics in areas such as Identifier, Information retrieval and Image file formats.
His Computer graphics research is multidisciplinary, incorporating elements of Camera auto-calibration, Overlay and Liquid-crystal display.
His most cited work include:
- Electronic imaging system using a removable software-enhanced storage device (460 citations)
- Electronic still camera for capturing and categorizing images (444 citations)
- Method for adding personalized metadata to a collection of digital images (373 citations)
What are the main themes of his work throughout his whole career to date?
Kenneth A. Parulski focuses on Artificial intelligence, Computer vision, Computer graphics, Digital image and Image sensor.
Kenneth A. Parulski interconnects Lens and Signal in the investigation of issues within Artificial intelligence.
Image processing, Digital image processing, Color image, Digital camera and Image resolution are among the areas of Computer vision where the researcher is concentrating his efforts.
His studies deal with areas such as Image capture, User interface, Compact disc and Scanner as well as Computer graphics.
His work deals with themes such as Service provider, Digital photography, Software and Image file formats, which intersect with Digital image.
His Image sensor research is multidisciplinary, incorporating perspectives in Still camera, Focal length, Image sensor format and Camera interface.
He most often published in these fields:
- Artificial intelligence (63.49%)
- Computer vision (63.16%)
- Computer graphics (33.88%)
What were the highlights of his more recent work (between 2004-2021)?
- Artificial intelligence (63.49%)
- Computer vision (63.16%)
- Computer graphics (33.88%)
In recent papers he was focusing on the following fields of study:
His main research concerns Artificial intelligence, Computer vision, Computer graphics, Image sensor and Image processing.
His work on Image and Camera auto-calibration is typically connected to Special events and Calendar time as part of general Artificial intelligence study, connecting several disciplines of science.
His Lens research extends to the thematically linked field of Computer vision.
Kenneth A. Parulski has researched Computer graphics in several fields, including Digital printing, Engineering drawing and Order.
The various areas that Kenneth A. Parulski examines in his Image sensor study include Mode, Image sensor format, Camera interface and Image signal.
His research in Image processing tackles topics such as Semiconductor memory which are related to areas like Image processor.
Between 2004 and 2021, his most popular works were:
- Camera using multiple lenses and image sensors to provide improved focusing capability (257 citations)
- Camera phone using multiple lenses and image sensors to provide an extended zoom range (255 citations)
- Cellular telephone and electronic camera system with programmable transmission capability (250 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Operating system
His scientific interests lie mostly in Computer vision, Artificial intelligence, Image processing, Image sensor and Computer graphics.
Computer vision is closely attributed to Digital zoom in his research.
Kenneth A. Parulski has included themes like Event and Event based in his Artificial intelligence study.
His research integrates issues of Lens and Camera interface in his study of Image sensor.
His Computer graphics study incorporates themes from Camera auto-calibration, Digital video, Video sequence and Presentation.
In general Digital image, his work in Digital imaging is often linked to Special events linking many areas of study.
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