Review of the 3D Reconstruction Technology Based on Optical Flow of Monocular Image Sequence

ZHANG Cong-xuan; CHEN Zhen; LI Ming

doi:10.3969/j.issn.0372-2112.2016.12.033

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Review of the 3D Reconstruction Technology Based on Optical Flow of Monocular Image Sequence

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- Review of the 3D Reconstruction Technology Based on Optical Flow of Monocular Image Sequence
- Acta Electronica Sinica Vol. 44, Issue 12, Pages: 3044-3052(2016)
- 作者机构：
  
  1. 南昌航空大学无损检测技术教育部重点实验室,江西,南昌,330063
  2. 南昌航空大学测试与光电工程学院,江西,南昌,330063
  3. 南昌航空大学无损检测技术教育部重点实验室,江西,南昌,330063
  4. 南昌航空大学测试与光电工程学院,江西,南昌,330063
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2016.12.033
  CLC： TP391
- Published：2016
- 稿件说明：
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ZHANG Cong-xuan, CHEN Zhen, LI Ming. Review of the 3D Reconstruction Technology Based on Optical Flow of Monocular Image Sequence[J]. Acta Electronica Sinica, 2016, 44(12): 3044-3052.
DOI：

ZHANG Cong-xuan, CHEN Zhen, LI Ming. Review of the 3D Reconstruction Technology Based on Optical Flow of Monocular Image Sequence[J]. Acta Electronica Sinica, 2016, 44(12): 3044-3052. DOI： 10.3969/j.issn.0372-2112.2016.12.033.

摘要

由单目图像序列光流重建物体或场景的三维运动与结构是计算机视觉、图像处理与模式识别等领域的重要研究内容，在机器人视觉、无人机导航、车辆辅助驾驶以及医学影像分析等方面具有重要的应用.本文首先从精度与鲁棒性等方面对单目图像序列光流计算及三维重建技术近年来取得的进展进行综述与分析.然后采用Middlebury测试图像序列对HS、LDOF、CLG-TV、SOF、AOFSCNN和Classic+NL等典型光流算法以及Adiv、RMROF、Sekkati和DMDPOF等基于光流的间接与直接重建方法进行实验对比分析，指出各对比方法的优点与不足，归纳各类方法的性能特点与适用范围.最后对利用分数阶微分模型、非局部约束、立体视觉以及深度线索解决亮度突变、非刚性运动、运动遮挡与模糊情况下光流计算及重建模型的局限性与鲁棒性问题进行总结与展望.

Abstract

The research on 3D motion estimation and structure reconstruction of the object or scene based on the monocular image sequence optical flow is important in computer vision

image processing and pattern recognition

and the research achievements are applied in many fields.such as robot vision

unmanned aerial vehicle(UAV) navigation

driver assistance system

medical image analysis

and so on.Firstly

the research progress of the technologies of the monocular image sequence optical flow estimation and 3D reconstruction is reviewed and analyzed from the aspects of accuracy and robustness.Secondly

the test image sequences of Middlebury database are employed to make comparison among the optical flow methods of HS

LDOF

CLG-TV

SOF

AOFSCNN and Classic+NL

and the direct and indirect reconstruction methods of Adiv

RMROF

Sekkati and DMDPOF based on optical flow are compared.Through the comparison results

the advantages and disadvantages of the methods are pointed out

and the characteristics and applications of the methods are generalized.Finally

the limitations and robustness of the models of optical flow estimation and 3D reconstruction in brightness changing

non-rigid motion

motion occlusion and blur are summarized

and the solutions by the fractional order differential model

non-local constraint

stereo vision and depth cue are presented.

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