What is he best known for?
The fields of study he is best known for:
- Optics
- Artificial intelligence
- Computer vision
Robert K. Rowe mostly deals with Biometrics, Artificial intelligence, Multispectral image, Remote sensing and Computer vision.
His study in Biometrics focuses on Biometric data in particular.
His Biometric data research is multidisciplinary, incorporating perspectives in Biometric system, Iris recognition and Data mining.
In his research, Identification is intimately related to Pattern recognition, which falls under the overarching field of Artificial intelligence.
In general Remote sensing, his work in Multispectral pattern recognition is often linked to Session linking many areas of study.
When carried out as part of a general Computer vision research project, his work on Fingerprint recognition is frequently linked to work in Acquisition time and Modalities, therefore connecting diverse disciplines of study.
His most cited work include:
- Multispectral biometric sensor (191 citations)
- Methods and apparatus for tailoring spectroscopic calibration models (171 citations)
- Multispectral imaging biometrics (163 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Artificial intelligence, Biometrics, Computer vision, Multispectral image and Optics.
His Feature study in the realm of Artificial intelligence connects with subjects such as Identity.
Robert K. Rowe interconnects Total internal reflection and Fingerprint in the investigation of issues within Biometrics.
His work on Object, Filter and Fingerprint as part of general Computer vision research is frequently linked to Color filter array and Liveness, bridging the gap between disciplines.
In the subject of general Multispectral image, his work in Multispectral pattern recognition is often linked to Modalities, thereby combining diverse domains of study.
His work on Detector, Light detector and Wavelength as part of general Optics research is often related to Surface and Spectroscopy, thus linking different fields of science.
He most often published in these fields:
- Artificial intelligence (62.82%)
- Biometrics (57.69%)
- Computer vision (55.13%)
What were the highlights of his more recent work (between 2009-2015)?
- Artificial intelligence (62.82%)
- Computer vision (55.13%)
- Biometrics (57.69%)
In recent papers he was focusing on the following fields of study:
Robert K. Rowe spends much of his time researching Artificial intelligence, Computer vision, Biometrics, Multispectral image and Optics.
His study in the field of Mathematical Alphanumeric Symbols also crosses realms of Variety.
His work on Object, Filter and Image as part of general Computer vision study is frequently linked to Function, therefore connecting diverse disciplines of science.
The Biometrics study combines topics in areas such as Identification and Fingerprint.
His Multispectral image research is included under the broader classification of Remote sensing.
In the field of Optics, his study on Refractive index and Opacity overlaps with subjects such as First light, Viscosity and Interface.
Between 2009 and 2015, his most popular works were:
- Machine-readable symbols (77 citations)
- Contactless Multispectral Biometric Capture (61 citations)
- Multispectral barcode imaging (30 citations)
In his most recent research, the most cited papers focused on:
- Optics
- Artificial intelligence
- Computer vision
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Multispectral image, Optics and Barcode.
His Mathematical Alphanumeric Symbols study, which is part of a larger body of work in Artificial intelligence, is frequently linked to Variety, bridging the gap between disciplines.
The Object and Biometrics research Robert K. Rowe does as part of his general Computer vision study is frequently linked to other disciplines of science, such as Color filter array, therefore creating a link between diverse domains of science.
Robert K. Rowe combines subjects such as Narrowband, Detector and Filter with his study of Multispectral image.
His work on Orthogonal polarization spectral imaging and Opacity as part of general Optics research is frequently linked to Active layer and Surface layer, thereby connecting diverse disciplines of science.
Barcode is intertwined with Optical reader, Terminal, Data transmission, Computer hardware and Mobile device in his research.
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