World's Best Scientists 2026 revealed!
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Computer Science
New Zealand
2025

D-Index & Metrics

Computer Science

D-Index
55
Citations
12700
World Ranking
4292
National Ranking
10

Research.com Recognitions

  • 2025 - Research.com Computer Science in New Zealand Leader Award
  • 2023 - Research.com Computer Science in New Zealand Leader Award
  • 2022 - Research.com Computer Science in New Zealand Leader Award

Overview

Reinhard Klette is affiliated with Auckland University of Technology in New Zealand. Their research spans multiple fields within computer science and engineering, with a focus on computer vision, pattern recognition, and related subfields.

The scientist's notable areas of study include:

  • Computer Vision and Pattern Recognition
  • Automotive Engineering
  • Cognitive Neuroscience
  • Aerospace Engineering
  • Media Technology

In terms of broader academic disciplines, Klette's work primarily falls into:

  • Computer Science
  • Engineering
  • Neuroscience

The research topics explored by Klette emphasize both theoretical and applied aspects, covering:

  • Autonomous Vehicle Technology and Safety
  • Advanced Image Processing Techniques
  • Remote Sensing and LiDAR Applications
  • Image and Object Detection Techniques
  • Robotics and Sensor-Based Localization
  • 3D Surveying and Cultural Heritage
  • Spectroscopy and Chemometric Analyses

Klette has contributed to publications in a range of venues, including:

  • Food Control
  • Neurocomputing
  • Signal Processing Image Communication
  • International Journal of Digital Crime and Forensics
  • Multimedia Tools and Applications

Some of the recent research papers associated with Klette include:

  • "Potential of deep learning and snapshot hyperspectral imaging for classification of species in meat" (2020, Food Control)
  • "Single image dehazing based on learning of haze layers" (2020, Neurocomputing)
  • "Moment-based multi-lane detection and tracking" (2021, Signal Processing Image Communication)
  • "A comprehensive approach for road marking detection and recognition" (2020, Multimedia Tools and Applications)
  • "Safety Assessment of Radio Frequency and Visible Light Communication for Vehicular Networks" (2020, IEEE Wireless Communications)

The scientist frequently collaborates with several co-authors, notably:

  • Jinsheng Xiao
  • Wei Qi Yan
  • Junfeng Lei
  • Mohammad Norouzifard
  • Mahmoud Al-Sarayreh

Best Publications

  • Digital Geometry: Geometric Methods for Digital Picture Analysis

    Reinhard Klette;Azriel Rosenfeld

  • Computer Vision: Three-Dimensional Data from Images

    Reinhard Klette;Andreas Koschan;Karsten Schluns

  • Concise Computer Vision

    Reinhard Klette

  • Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes

    Mohammad Sabokrou;Mohsen Fayyaz;Mahmood Fathy;Zahra. Moayed

  • Deep-Cascade: Cascading 3D Deep Neural Networks for Fast Anomaly Detection and Localization in Crowded Scenes

    Mohammad Sabokrou;Mohsen Fayyaz;Mahmood Fathy;Reinhard Klette

  • Digital geometry

    Azriel Rosenfeld;Reinhard Klette

  • Automatic human model generation

    Bodo Rosenhahn;Lei He;Reinhard Klette

  • Handbook of image processing operators

    Reinhard Klette;Piero Zamperoni

  • Real-time anomaly detection and localization in crowded scenes

    Mohammad Sabokrou;Mahmood Fathy;Mojtaba Hoseini;Reinhard Klette

  • Pothole Detection Using Computer Vision and Learning

    Amita Dhiman;Reinhard Klette

  • Digital straightness: a review

    Reinhard Klette;Azriel Rosenfeld

  • Robust Vehicle Detection and Distance Estimation Under Challenging Lighting Conditions

    Mahdi Rezaei;Mutsuhiro Terauchi;Reinhard Klette

  • Differences between stereo and motion behaviour on synthetic and real-world stereo sequences

    T. Vaudrey;C. Rabe;R. Klette;J. Milburn

  • Image Stitching - Comparisons and New Techniques

    Chia-Yen Chen;Reinhard Klette

  • Concise Computer Vision: An Introduction into Theory and Algorithms

    Reinhard Klette

  • Research in the theory of inductive inference by GDR mathematicians-A survey

    R. Klette;R. Wiehagen

  • A comparative evaluation of length estimators of digital curves

    D. Coeurjolly;R. Klette

  • Potential of deep learning and snapshot hyperspectral imaging for classification of species in meat

    Mahmoud Al-Sarayreh;Mahmoud Al-Sarayreh;Marlon M. Reis;Wei Qi Yan;Reinhard Klette

  • Iterative semi-global matching for robust driver assistance systems

    Simon Hermann;Reinhard Klette

  • Moving Object Segmentation Using Optical Flow and Depth Information

    Jens Klappstein;Tobi Vaudrey;Clemens Rabe;Andreas Wedel

  • Real-Time Anomaly Detection and Localization in Crowded Scenes

    Mohammad Sabokrou;Mahmood Fathy;Mojtaba Hosseini;Reinhard Klette

Frequent Co-Authors

Bodo Rosenhahn
Bodo Rosenhahn University of Hannover
Mahmood Fathy
Mahmood Fathy Iran University of Science and Technology
Gerald Sommer
Gerald Sommer Kiel University
Ron Kimmel
Ron Kimmel Technion – Israel Institute of Technology
Azriel Rosenfeld
Azriel Rosenfeld University of Maryland, College Park
Andreas Koschan
Andreas Koschan University of Tennessee at Knoxville
Georgy Gimel'farb
Georgy Gimel'farb University of Auckland
Joachim Weickert
Joachim Weickert Saarland University
Jianyu Yang
Jianyu Yang University of Electronic Science and Technology of China
Ahmed Elgammal
Ahmed Elgammal Rutgers, The State University of New Jersey

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