menu
{ "item_title" : "Optical Flow Estimation Using Pulse Coupled Neural Networks", "item_author" : [" Markus Barenhoff "], "item_description" : "Most of the ways for Optical Flow estimation in computer vision depend on static algorithms or dynamic algorithms which need some kind of training. The subject of this work is to use a model of biological neural networks called Pulse Coupled Neural Networks, which try to model biological neuronal networks in a more accurate manner, to implement a system for Optical Flow estimation which needs no training and is suitable for the use with both artificial and natural images. Beginning with a introduction to the subject and the problems of Optical Flow estimation as well as to Pulse Coupled Neural Networks this book suggests a multi layer architecture which should enable the reader to implement a system on his own.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/63/901/707/3639017072_b.jpg", "price_data" : { "retail_price" : "52.92", "online_price" : "52.92", "our_price" : "52.92", "club_price" : "52.92", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Optical Flow Estimation Using Pulse Coupled Neural Networks|Markus Barenhoff

Optical Flow Estimation Using Pulse Coupled Neural Networks

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

Most of the ways for Optical Flow estimation in computer vision depend on static algorithms or dynamic algorithms which need some kind of training. The subject of this work is to use a model of biological neural networks called Pulse Coupled Neural Networks, which try to model biological neuronal networks in a more accurate manner, to implement a system for Optical Flow estimation which needs no training and is suitable for the use with both artificial and natural images. Beginning with a introduction to the subject and the problems of Optical Flow estimation as well as to Pulse Coupled Neural Networks this book suggests a multi layer architecture which should enable the reader to implement a system on his own.

This item is Non-Returnable

Details

  • ISBN-13: 9783639017076
  • ISBN-10: 3639017072
  • Publisher: VDM Verlag Dr. Mueller E.K.
  • Publish Date: June 2008
  • Dimensions: 9 x 6 x 0.11 inches
  • Shipping Weight: 0.18 pounds
  • Page Count: 52

Related Categories

You May Also Like...

    1

BAM Customer Reviews