Point Cloud Compression: Technologies and Standardization
Li, Ge, Gao, Wei, Gao, Wen
- 出版商: Springer
- 出版日期: 2024-05-18
- 售價: $4,780
- 貴賓價: 9.5 折 $4,541
- 語言: 英文
- 頁數: 253
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 9819719569
- ISBN-13: 9789819719563
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相關主題
商品描述
3D point clouds has broad applications across various industries and contributes to advancements in fields such as autonomous driving, immersive media, metaverse, and cultural heritage protection. In the fast-growing field of 3D point cloud data and its applications, the need for efficient compression technologies has become paramount. This book delves into the forefront of point cloud compression, exploring key technologies, standardization efforts, and future prospects.
This comprehensive book uncovers the foundational concepts, data acquisition methods, and datasets associated with point cloud compression. By examining the fundamental compression technologies, readers gain a clear understanding of prediction coding, transform coding, quantization techniques, and entropy coding. Through vivid illustrations and examples, the book elucidates how these techniques have evolved over the years and their potential for the future. To provide a complete picture, the book presents cutting-edge research methods in point cloud compression and facilitates comparison among them. Readers are equipped with an in-depth understanding of the latest advancements and gain insights into the various approaches employed in this dynamic field.
One distinguishing aspect of this book is its exploration of standardization works for point cloud compression. Notable standards, such as MPEG G-PCC, AVS PCC, and MPEG V-PCC, are thoroughly illustrated. By delving into the methods used in geometry-based, video-based, and deep learning-based compression, readers become familiar with the latest breakthroughs in standard communities.
商品描述(中文翻譯)
3D點雲在各個行業中具有廣泛的應用，並在自動駕駛、沉浸式媒體、元宇宙和文化遺產保護等領域的發展中發揮著重要作用。在快速增長的3D點雲數據及其應用領域中，高效壓縮技術的需求變得至關重要。本書深入探討了點雲壓縮的前沿技術、標準化工作和未來前景。
本書全面揭示了點雲壓縮的基礎概念、數據獲取方法和相關數據集。通過研究基本的壓縮技術，讀者可以清楚地了解預測編碼、變換編碼、量化技術和熵編碼。通過生動的插圖和實例，本書闡明了這些技術多年來的演變以及它們在未來的潛力。為了提供一個完整的圖景，本書介紹了點雲壓縮中的尖端研究方法，並促進了它們之間的比較。讀者將深入了解最新進展，並獲得對這個充滿活力領域中所採用的各種方法的深入洞察。
本書的一個獨特之處在於探索點雲壓縮的標準化工作。著名的標準，如MPEG G-PCC、AVS PCC和MPEG V-PCC，都有詳細的說明。通過深入研究基於幾何、基於視頻和基於深度學習的壓縮方法，讀者將熟悉標準社區中的最新突破。
作者簡介
Dr. Ge Li is a professor at the School of Electronic and Computer Engineering, Peking University, Shenzhen, China. He chairs the standardization of point cloud compression in the Audio Video Coding Standard (AVS) working group in China. His research interests include point cloud compression and its standardization, image/video processing and analysis, machine learning, and signal processing.
Dr. Wei Gao is an assistant professor at the School of Electronic and Computer Engineering, Peking University, Shenzhen, China. His research interests include point cloud compression and processing, video coding and processing, deep learning, and artificial intelligence. Dr. Gao actively participates in standardization activities for multimedia compression, and leads the development of the open-source project for point cloud technologies, namely OpenPointCloud. He is a senior member of IEEE.
Dr. Wen Gao is a professor at the School of Computer Science andthe Director of the National Engineering Research Center of Visual Technology, Peking University, Beijing, China. He is also the Director of Peng Cheng Laboratory, Shenzhen, China. His research encompasses multimedia and computer vision, focusing on areas such as video coding, video analysis, multimedia retrieval, face recognition, and multimodal interface. He is a fellow of IEEE, a fellow of ACM, and a member of Chinese Academy of Engineering.
作者簡介(中文翻譯)
李戈博士是中國北京大學深圳電子與計算機工程學院的教授。他主持中國音視頻編碼標準（AVS）工作組中的點雲壓縮標準化工作。他的研究興趣包括點雲壓縮及其標準化、圖像/視頻處理與分析、機器學習和信號處理。
高偉博士是中國北京大學深圳電子與計算機工程學院的助理教授。他的研究興趣包括點雲壓縮和處理、視頻編碼和處理、深度學習和人工智能。高博士積極參與多媒體壓縮的標準化活動，並領導點雲技術的開源項目OpenPointCloud的開發。他是IEEE的高級會員。
高文博士是中國北京大學計算機科學學院的教授，也是國家視覺技術工程研究中心的主任，以及中國深圳鵬城實驗室的主任。他的研究涵蓋多媒體和計算機視覺領域，專注於視頻編碼、視頻分析、多媒體檢索、人臉識別和多模態界面等領域。他是IEEE和ACM的院士，也是中國工程院的院士。
