Computational Models for Cognitive Vision

Ghosh, Hiranmay

  • 出版商: Wiley
  • 出版日期: 2020-08-18
  • 定價: $2,140
  • 售價: 8.0$1,712
  • 語言: 英文
  • 頁數: 240
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1119527864
  • ISBN-13: 9781119527862
  • 相關分類: Computer Vision
  • 立即出貨 (庫存 < 4)

相關主題

商品描述

Learn how to apply cognitive principles to the problems of computer vision

Computational Models for Cognitive Vision formulates the computational models for the cognitive principles found in biological vision, and applies those models to computer vision tasks. Such principles include perceptual grouping, attention, visual quality and aesthetics, knowledge-based interpretation and learning, to name a few. The author's ultimate goal is to provide a framework for creation of a machine vision system with the capability and versatility of the human vision.

Written by Dr. Hiranmay Ghosh, the book takes readers through the basic principles and the computational models for cognitive vision, Bayesian reasoning for perception and cognition, and other related topics, before establishing the relationship of cognitive vision with the multi-disciplinary field broadly referred to as "artificial intelligence". The principles are illustrated with diverse application examples in computer vision, such as computational photography, digital heritage and social robots. The author concludes with suggestions for future research and salient observations about the state of the field of cognitive vision.

Other topics covered in the book include:

- knowledge representation techniques

- evolution of cognitive architectures

- deep learning approaches for visual cognition

Undergraduate students, graduate students, engineers, and researchers interested in cognitive vision will consider this an indispensable and practical resource in the development and study of computer vision.

商品描述(中文翻譯)

學習如何將認知原理應用於計算機視覺問題

《計算認知視覺模型》提出了生物視覺中的認知原理的計算模型,並將這些模型應用於計算機視覺任務。這些原理包括知覺分組、注意力、視覺品質和美學、基於知識的解釋和學習等等。作者的最終目標是提供一個框架,創造出一個具有人類視覺能力和多功能性的機器視覺系統。

本書由Hiranmay Ghosh博士撰寫,引領讀者了解認知視覺的基本原理和計算模型,以及感知和認知的貝葉斯推理和其他相關主題,然後建立認知視覺與廣泛稱為「人工智能」的多學科領域的關係。這些原理通過計算機視覺中的多樣應用示例進行了說明,例如計算攝影、數字遺產和社交機器人。作者最後提出了未來研究的建議,並對認知視覺領域的現狀提出了重要觀察。

本書還涵蓋了以下主題:
- 知識表示技術
- 認知架構的演化
- 用於視覺認知的深度學習方法

本書對於本科生、研究生、工程師和對認知視覺感興趣的研究人員來說,是在計算機視覺的發展和研究中不可或缺的實用資源。

作者簡介

HIRANMAY GHOSH, PHD, was a Research Advisor to TATA Consultancy Services and an Adjunct Faculty Member with the National Institute of Technology Karnataka. During his long professional career, he has served several reputed organizations, including CMC, ECIL and C-DOT and TCS. He was an Adjunct Faculty Member with IIT Delhi, and with the National Institute of Technology Karnataka. He is a Senior Member of IEEE, Life Member of IUPRAI, and a Member of ACM.

作者簡介(中文翻譯)

HIRANMAY GHOSH博士是TATA Consultancy Services的研究顧問,也是國家技術學院卡納塔克邦的兼職教師。在他長期的職業生涯中,他曾在CMC、ECIL、C-DOT和TCS等多個知名組織工作。他曾是印度理工學院德里分校和國家技術學院卡納塔克邦的兼職教師。他是IEEE的高級會員,IUPRAI的終身會員,以及ACM的會員。