Showing 20 of 829 academic articles
Emanuele Trucco, Alessandro Verri • CINECA IRIS Institutial Research Information System (University of Genoa)
(1998)
From the Publisher:
FEATURES:
Provides a guide to well-tested theory and algorithms including solutions of problems encountered in modern computer vision.
Contains many practical hints highlighted in the book.
Develops two parallel ...
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克史 池内 • Springer eBooks
(2014)
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Longfei Zhou, Zhang Li, Nicholas Konz • IEEE Transactions on Systems Man and Cybernetics Systems
(2022)
Computer vision techniques have played an important role in promoting the informatization, digitization and intelligence of industrial manufacturing systems. Considering the rapid development of computer vision techniques, we present a comp...
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Open Access
DOI: https://doi.org/10.1109/tsmc.2022.3166397
Armin Gruen, Thomas S. Huang • Springer series in information sciences
(2001)
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DOI: https://doi.org/10.1007/978-3-662-04567-1
Edward Pervin, Jon A. Webb • Defense Technical Information Center (DTIC)
(1982)
Computer vision and robotics suffer from not having good tools for manipulating three-dimensional objects. Vectors, coordinate geometry, and trigonometry all have deficiencies. Quaternions can be used to solve many of these problems. Many p...
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DOI: https://doi.org/10.21236/ada125076
Peter Franz Sturm, Triggs, William • Lecture notes in computer science
(1996)
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Open Access
DOI: https://doi.org/10.1007/3-540-61123-1
Nikhil Naik, Scott Duke Kominers, Ramesh Raskar, Edward L. Glaeser et al. • Proceedings of the National Academy of Sciences
(2017)
Which neighborhoods experience physical improvements? In this paper, we introduce a computer vision method to measure changes in the physical appearances of neighborhoods from time-series street-level imagery. We connect changes in the phys...
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Open Access
DOI: https://doi.org/10.1073/pnas.1619003114
PMC: 5530649
Mark J. Burge, Wilhelm Burger • Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
(2002)
A class of biometrics based upon ear features is introduced for use in the development of passive identification systems. The viability of the proposed biometric is shown both theoretically in terms of the uniqueness and measurability over ...
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DOI: https://doi.org/10.1109/icpr.2000.906202
Siddharth Singh Chouhan, Uday Pratap Singh, Sanjeev Jain • Archives of Computational Methods in Engineering
(2019)
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DOI: https://doi.org/10.1007/s11831-019-09324-0
John N. Wright, Yi Ma, Julien Mairal, Guillermo Sapiro et al. • Proceedings of the IEEE
(2010)
Techniques from sparse signal representation are beginning to see significant impact in computer vision, often on nontraditional applications where the goal is not just to obtain a compact high-fidelity representation of the observed signal...
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DOI: https://doi.org/10.1109/jproc.2010.2044470
Hossein Tahani, James M. Keller • IEEE Transactions on Systems Man and Cybernetics
(1990)
A method of evidence fusion, based on the fuzzy integral, is developed. This technique nonlinearly combines objective evidence, in the form of a fuzzy membership function, with subjective evaluation of the worth of the sources with respect ...
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DOI: https://doi.org/10.1109/21.57289
Varun Kumar Reja, Koshy Varghese, Quang Phuc Ha • Automation in Construction
(2022)
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Open Access
DOI: https://doi.org/10.1016/j.autcon.2022.104245
Jonathan P. Dandois, Erle C. Ellis • Remote Sensing
(2010)
High spatial resolution measurements of vegetation structure in three-dimensions (3D) are essential for accurate estimation of vegetation biomass, carbon accounting, forestry, fire hazard evaluation and other land management and scientific ...
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DOI: https://doi.org/10.3390/rs2041157
Jinglu Tan • Journal of Food Engineering
(2003)
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DOI: https://doi.org/10.1016/s0260-8774(03)00185-7
A. David Marshall, R. R. Martin • World Scientific series in robotics and intelligent systems
(1992)
The main focus of this book is on the uses of computer vision for inspection and model based matching. It also provides a short, self contained introductory course on computer vision. The authors describe various state-of-the-art approaches...
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DOI: https://doi.org/10.1142/1492
James R. Parker (1993)
From the Publisher:
A straightforward, practical examination of the fundamentals of computer vision using a minimum of mathematics. Concentrates on explanation, illustration, implementation and the various types of vision imaging problems ...
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Di Wu, Da‐Wen Sun • Trends in Food Science & Technology
(2012)
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DOI: https://doi.org/10.1016/j.tifs.2012.08.004
Christopher M. Brown • CERN Document Server (European Organization for Nuclear Research)
(1987)
Contents: A. Hanson, E. Riseman, The Visions Image Understanding System. J. Aloimonos, C. Brown, Robust Computation of Intrinsic Images from Multiple Cues. A. Waxman, K. Wohn, Image Flow Theory: A Framework for 3-D Inference From Time-Varyi...
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• Computer Vision Graphics and Image Processing
(1990)
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DOI: https://doi.org/10.1016/0734-189x(90)90171-q
Faik Boray TEK, Andrew Graham Dempster, İzzet Kale • Malaria Journal
(2009)
This paper reviews computer vision and image analysis studies aiming at automated diagnosis or screening of malaria infection in microscope images of thin blood film smears. Existing works interpret the diagnosis problem differently or prop...
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DOI: https://doi.org/10.1186/1475-2875-8-153
PMC: 2719653