3D Face Modeling, Analysis and Recognition (Hardcover)

Mohamed Daoudi, Anuj Srivastava, Remco Veltkamp

  • 出版商: Wiley
  • 出版日期: 2013-08-19
  • 定價: $3,980
  • 售價: 9.5$3,781
  • 語言: 英文
  • 頁數: 224
  • 裝訂: Hardcover
  • ISBN: 0470666412
  • ISBN-13: 9780470666418
  • 相關分類: 3D 列印人工智慧Computer Vision
  • 立即出貨 (庫存=1)

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商品描述

3D Face Modeling, Analysis and Recognition presents methodologies for analyzing shapes of facial surfaces, develops computational tools for analyzing 3D face data, and illustrates them using state-of-the-art applications. The methodologies chosen are based on efficient representations, metrics, comparisons, and classifications of features that are especially relevant in the context of 3D measurements of human faces. These frameworks have a long-term utility in face analysis, taking into account the anticipated improvements in data collection, data storage, processing speeds, and application scenarios expected as the discipline develops further.

The book covers face acquisition through 3D scanners and 3D face pre-processing, before examining the three main approaches for 3D facial surface analysis and recognition: facial curves; facial surface features; and 3D morphable models. Whilst the focus of these chapters is fundamentals and methodologies, the algorithms provided are tested on facial biometric data, thereby continually showing how the methods can be applied.

Key features:
• Explores the underlying mathematics and will apply these mathematical techniques to 3D face analysis and recognition
• Provides coverage of a wide range of applications including biometrics, forensic applications, facial expression analysis, and model fitting to 2D images
• Contains numerous exercises and algorithms throughout the book

商品描述(中文翻譯)

《3D人臉建模、分析與識別》介紹了分析人臉表面形狀的方法,開發了用於分析3D人臉數據的計算工具,並通過最先進的應用案例加以說明。所選擇的方法基於高效的表示、度量、比較和特徵分類,這些特徵在人臉3D測量的背景下尤其重要。這些框架在人臉分析中具有長期的實用性,考慮到隨著學科的進一步發展,數據收集、數據存儲、處理速度和應用場景的預期改進。

本書涵蓋了通過3D掃描儀和3D人臉預處理進行人臉獲取,然後檢查了3D人臉表面分析和識別的三種主要方法:人臉曲線、人臉表面特徵和3D可塑模型。雖然這些章節的重點是基礎知識和方法論,但所提供的算法是在人臉生物特徵數據上進行測試的,從而不斷展示這些方法的應用。

主要特點:
- 探索基礎數學並將這些數學技術應用於3D人臉分析和識別
- 提供了廣泛的應用範圍,包括生物特徵學、法醫應用、人臉表情分析和對2D圖像的模型擬合
- 書中包含了大量的練習和算法