Shape analysis
The notion of shape is crucial in computer vision. We analyze visual data by recognizing various different shapes in the image. This is actually an important step in many algorithms.
Let's say you are trying to identify a particular logo in an image. You know that it can appear in various shapes, orientations, and sizes. One good way to get started is to quantify the characteristics of the shape of the object.
The shape module provides all the algorithms required to extract different shapes, measure similarity between them, transform the shapes of objects, and more.
推薦閱讀
- 企業數字化創新引擎:企業級PaaS平臺HZERO
- 在你身邊為你設計Ⅲ:騰訊服務設計思維與實戰
- SQL Server 2008數據庫應用技術(第二版)
- 商業分析思維與實踐:用數據分析解決商業問題
- 達夢數據庫性能優化
- 數據驅動設計:A/B測試提升用戶體驗
- AI時代的數據價值創造:從數據底座到大模型應用落地
- 大數據架構商業之路:從業務需求到技術方案
- 數據庫設計與應用(SQL Server 2014)(第二版)
- Chef Essentials
- 數字IC設計入門(微課視頻版)
- 爬蟲實戰:從數據到產品
- Python數據分析從小白到專家
- 數字化轉型實踐:構建云原生大數據平臺
- Practical Convolutional Neural Networks