面向视觉概念构建的三维形状空间学习：挑战与研究进展

童欣

doi:10.1631/FITEE.2200318

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面向视觉概念构建的三维形状空间学习：挑战与研究进展

视觉知识专栏 | Updated：2022-10-14

- 面向视觉概念构建的三维形状空间学习：挑战与研究进展
- Three-dimensional shape space learning for visual concept construction: challenges and research progress
- 信息与电子工程前沿（英文） 2022年23卷第9期页码：1290-1297
- Affiliations：
  
  Microsoft Research Asia, Beijing 100080, China
- Author bio：
- Funds：
- DOI：10.1631/FITEE.2200318
  中图分类号：
- 收稿：2022-07-26，
  
  修回：2022-09-06，
  
  录用：2022-08-26，
  
  纸质出版：2022-09
- Accepted：
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童欣. 面向视觉概念构建的三维形状空间学习：挑战与研究进展[J]. 信息与电子工程前沿（英文）, 2022,23(9):1290-1297.

Xin TONG. Three-dimensional shape space learning for visual concept construction: challenges and research progress[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(9): 1290-1297.
童欣. 面向视觉概念构建的三维形状空间学习：挑战与研究进展[J]. 信息与电子工程前沿（英文）, 2022,23(9):1290-1297. DOI： 10.1631/FITEE.2200318.

Xin TONG. Three-dimensional shape space learning for visual concept construction: challenges and research progress[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(9): 1290-1297. DOI： 10.1631/FITEE.2200318.

摘要

人类可以熟练的对真实世界中物体按照形状或者功能进行分类，并在思维中建立每类物体的视觉概念和周围真实世界的视觉知识（

Pan

2019

Pan

2019

）。

Pan（2021）

指出建立这些视觉概念和视觉知识的计算表达是发展下一代人工智能的一个关键步骤。学习同一视觉概念下所有物体的三维形状空间是实现视觉概念计算表达的一个关键步骤。本文提出三维形状空间学习中面临的关键技术挑战，并围绕这些技术挑战回顾了这一领域的研究进展，最后讨论了三维形状空间学习领域的研究趋势和未来发展方向。

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