What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Electrical engineering
Computer vision, Artificial intelligence, Digital image, Computer graphics and Image processing are his primary areas of study.
As part of one scientific family, Joseph A. Manico deals mainly with the area of Computer vision, narrowing it down to issues related to the Dual, and often Image signal.
The Artificial intelligence study combines topics in areas such as Digital audio, Audio signal flow, Radio receiver design, Digital video and Digital signal processing.
His Digital image research integrates issues from Multimedia, Digital image processing and Information retrieval.
His studies in Computer graphics integrate themes in fields like Fold, Code, Digital printing and Light source, Light pipe.
His studies in Image processing integrate themes in fields like Lens and Image sensor.
His most cited work include:
- Charging display system (440 citations)
- System for custom imprinting a variety of articles with images obtained from a variety of different sources (276 citations)
- Interactive image storage, indexing and retrieval system (257 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, Computer graphics, Digital image and Image.
Many of his studies involve connections with topics such as Lens and Artificial intelligence.
He performs integrative study on Computer vision and Set in his works.
Much of his study explores Computer graphics relationship to Frame.
In general Digital image study, his work on Digital imaging often relates to the realm of Software, thereby connecting several areas of interest.
His Image research incorporates themes from Identifier and Bearing.
He most often published in these fields:
- Artificial intelligence (31.20%)
- Computer vision (31.20%)
- Computer graphics (23.68%)
What were the highlights of his more recent work (between 2006-2019)?
- Computer vision (31.20%)
- Artificial intelligence (31.20%)
- Digital image (19.55%)
In recent papers he was focusing on the following fields of study:
His main research concerns Computer vision, Artificial intelligence, Digital image, Image capture and Engineering drawing.
The study incorporates disciplines such as Key and Computer graphics in addition to Computer vision.
The various areas that he examines in his Computer graphics study include Timestamp, Service provider and Multimedia.
His work on Image scaling and Search engine indexing as part of general Artificial intelligence study is frequently linked to Notation, bridging the gap between disciplines.
Joseph A. Manico has researched Digital image in several fields, including Digital image processing, Data mining and Observer.
Joseph A. Manico works mostly in the field of Image processing, limiting it down to topics relating to Lens and, in certain cases, Camera interface and Image resolution, as a part of the same area of interest.
Between 2006 and 2019, his most popular works were:
- Charging display system (440 citations)
- Method and apparatus for operating a dual lens camera to augment an image (167 citations)
- Digital camera using multiple image sensors to provide improved temporal sampling (153 citations)
In his most recent research, the most cited papers focused on:
- Mechanical engineering
- Artificial intelligence
- Electrical engineering
Joseph A. Manico mostly deals with Computer vision, Artificial intelligence, Digital image, Computer graphics and Image.
His work in Image capture and Image processing are all subfields of Computer vision research.
Joseph A. Manico combines subjects such as Lens, Image sensor, Video communication system and Wireless with his study of Image processing.
His Digital image research integrates issues from Timestamp and Digital image processing.
His work in Computer graphics addresses issues such as Digital media, which are connected to fields such as Array data structure.
In his works, he undertakes multidisciplinary study on Image and Set.
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