Programming Computer Vision with Python: Tools and algorithms for analyzing images (Paperback)
暫譯: 使用 Python 進行電腦視覺編程:圖像分析的工具與演算法 (平裝本)

Jan Erik Solem

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商品描述

If you want a basic understanding of computer vision’s underlying theory and algorithms, this hands-on introduction is the ideal place to start. You’ll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Python.

Programming Computer Vision with Python explains computer vision in broad terms that won’t bog you down in theory. You get complete code samples with explanations on how to reproduce and build upon each example, along with exercises to help you apply what you’ve learned. This book is ideal for students, researchers, and enthusiasts with basic programming and standard mathematical skills.

  • Learn techniques used in robot navigation, medical image analysis, and other computer vision applications
  • Work with image mappings and transforms, such as texture warping and panorama creation
  • Compute 3D reconstructions from several images of the same scene
  • Organize images based on similarity or content, using clustering methods
  • Build efficient image retrieval techniques to search for images based on visual content
  • Use algorithms to classify image content and recognize objects
  • Access the popular OpenCV library through a Python interface

商品描述(中文翻譯)

如果您想對計算機視覺的基本理論和算法有一個基本的了解,這本實作導論是開始的理想之地。您將學習物體識別、3D重建、立體成像、擴增實境以及其他計算機視覺應用的技術,並跟隨用 Python 編寫的清晰範例。

《用 Python 程式設計計算機視覺》以廣泛的術語解釋計算機視覺,不會讓您陷入理論的泥沼。您將獲得完整的代碼範例,並附有如何重現和擴展每個範例的解釋,以及幫助您應用所學的練習。本書非常適合具備基本程式設計和標準數學技能的學生、研究人員和愛好者。

- 學習用於機器人導航、醫學影像分析和其他計算機視覺應用的技術
- 處理影像映射和變換,例如紋理變形和全景創建
- 從同一場景的多張影像計算 3D 重建
- 使用聚類方法根據相似性或內容組織影像
- 建立高效的影像檢索技術,以根據視覺內容搜尋影像
- 使用算法對影像內容進行分類和物體識別
- 通過 Python 介面訪問流行的 OpenCV 函式庫

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