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Compressive Sensing for the Photonic Mixer Device: Fundamentals, Methods and Results

AUTHOR Heredia Conde, Miguel
PUBLISHER Springer Vieweg (04/26/2017)
PRODUCT TYPE Paperback (Paperback)
Description
Miguel Heredia Conde aims at finding novel ways to fit the valuable mathematical results of the Compressive Sensing (CS) theory to the specific case of the Photonic Mixer Device (PMD).To this end, methods are presented that take profit of the sparsity of the signals gathered by PMD sensors. In his research, the author reveals that CS enables outstanding tradeoffs between sensing effort and depth error reduction or resolution enhancement.

Contents

  • Phase-Shift-Based Time-of-Flight Imaging Systems
  • Fundamentals of Compressive Sensing
  • High Resolution Characterization of PMD Pixels
  • Compressive Sensing in Spatial and Time-Frequency Domains
  • CS-PMD: A Compressive Sensing ToF Camera based on the Photonic Mixer Device

Target Groups

  • Lecturers and students of computer science, electronic engineering and robotics
    • Researchers and trainees working in application areas where depth sensing is required

The Author
Dr. Miguel Heredia Conde studied industrial engineering with specialization in automation and electronics at the University of Vigo, Spain. He defended his PhD thesis in engineering at the University of Siegen, Faculty of Science and Technology, Germany. There, he is currently head of the research group on compressive sensing for time-of-flight sensors at the Center for Sensor Systems (ZESS).
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Product Format
Product Details
ISBN-13: 9783658180560
ISBN-10: 3658180560
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
More Product Details
Page Count: 496
Carton Quantity: 0
Country of Origin: NL
Subject Information
BISAC Categories
Computers | Artificial Intelligence - Computer Vision & Pattern Recognit
Computers | Information Theory
Computers | Applied
Dewey Decimal: 005.74
Descriptions, Reviews, Etc.
jacket back
Miguel Heredia Conde aims at finding novel ways to fit the valuable mathematical results of the Compressive Sensing (CS) theory to the specific case of the Photonic Mixer Device (PMD).To this end, methods are presented that take profit of the sparsity of the signals gathered by PMD sensors. In his research, the author reveals that CS enables outstanding tradeoffs between sensing effort and depth error reduction or resolution enhancement.

Contents

  • Phase-Shift-Based Time-of-Flight Imaging Systems
  • Fundamentals of Compressive Sensing
  • High Resolution Characterization of PMD Pixels
  • Compressive Sensing in Spatial and Time-Frequency Domains
  • CS-PMD: A Compressive Sensing ToF Camera based on the Photonic Mixer Device

Target Groups

  • Lecturers and students of computer science, electronic engineering and robotics
    • Researchers and trainees working in application areas where depth sensing is required

The Author
Dr. Miguel Heredia Conde studied industrial engineering with specialization in automation and electronics at the University of Vigo, Spain. He defended his PhD thesis in engineering at the University of Siegen, Faculty of Science and Technology, Germany. There, he is currently head of the research group on compressive sensing for time-of-flight sensors at the Center for Sensor Systems (ZESS).

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Paperback