2016 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to computer vision and applications
His primary scientific interests are in Artificial intelligence, Computer vision, Image processing, Pattern recognition and Image segmentation. His Segmentation, Feature extraction, Outlier, Motion estimation and Motion analysis investigations are all subjects of Artificial intelligence research. The study of Computer vision is intertwined with the study of Pattern recognition in a number of ways.
His Image processing study also includes fields such as
Emanuele Trucco spends much of his time researching Artificial intelligence, Computer vision, Retinal, Pattern recognition and Retina. His Artificial intelligence research focuses on Segmentation, Image segmentation, Feature extraction, Contextual image classification and Feature. His Computer vision study frequently draws connections between related disciplines such as Optic disc.
The concepts of his Retinal study are interwoven with issues in Diabetic retinopathy, Internal medicine and Cardiology. Emanuele Trucco specializes in Pattern recognition, namely Support vector machine. His research investigates the link between Tracking and topics such as Particle swarm optimization that cross with problems in Pose.
Emanuele Trucco mostly deals with Retinal, Internal medicine, Cardiology, Retina and Ophthalmology. Emanuele Trucco combines subjects such as Perivascular space, Blood pressure and Vein with his study of Retinal. His Retina research also works with subjects such as
His work carried out in the field of Fundus brings together such families of science as Optic disc, Computer vision and Artificial intelligence. The Feature extraction and Image segmentation research Emanuele Trucco does as part of his general Computer vision study is frequently linked to other disciplines of science, such as Fractal dimension, therefore creating a link between diverse domains of science. His Artificial intelligence research includes elements of Neuroimaging and Disease, Cognitive impairment.
His main research concerns Retinal, Retina, Internal medicine, Artificial intelligence and Dementia. His Retina research is multidisciplinary, relying on both Ophthalmology and Fundus camera, Fundus. The various areas that Emanuele Trucco examines in his Internal medicine study include Type 2 diabetes and Cardiology.
His Artificial intelligence research includes themes of Retinal Vein and Pattern recognition. His Feature extraction study introduces a deeper knowledge of Computer vision. The study incorporates disciplines such as Cluster analysis and Data set in addition to Computer vision.
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Introductory Techniques for 3-D Computer Vision
Emanuele Trucco;Alessandro Verri.
A compact algorithm for rectification of stereo pairs
Andrea Fusiello;Emanuele Trucco;Alessandro Verri.
machine vision applications (2000)
Efficient stereo with multiple windowing
A. Fusiello;V. Roberto;E. Trucco.
computer vision and pattern recognition (1997)
FABC: Retinal Vessel Segmentation Using AdaBoost
C A Lupascu;D Tegolo;E Trucco.
international conference of the ieee engineering in medicine and biology society (2010)
Making good features track better
T. Tommasini;A. Fusiello;E. Trucco;V. Roberto.
computer vision and pattern recognition (1998)
Video Tracking: A Concise Survey
E. Trucco;K. Plakas.
IEEE Journal of Oceanic Engineering (2006)
Dictionary of Computer Vision and Image Processing
Robert B. Fisher;Toby P. Breckon;Kenneth Dawson-Howe;Andrew Fitzgibbon.
Experiments in curvature-based segmentation of range data
E. Trucco;R.B. Fisher.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1995)
Validating retinal fundus image analysis algorithms: issues and a proposal.
Emanuele Trucco;Alfredo Ruggeri;Thomas Karnowski;Luca Giancardo.
Investigative Ophthalmology & Visual Science (2013)
Robust motion and correspondence of noisy 3-D point sets with missing data
Emanuele Trucco;Andrea Fusiello;Vito Roberto.
Pattern Recognition Letters (1999)
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