Dense Depth and Albedo from a Single-shot Structured Light

被引:6
|
作者
Ha, Hyowon [1 ]
Park, Jaesik [1 ]
Kweon, In So [1 ]
机构
[1] Korea Adv Inst Sci & Technol, Daejeon, South Korea
关键词
D O I
10.1109/3DV.2015.22
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Single-shot structured light scanning has been actively investigated as it can recover accurate geometric shapes even in dynamic scenes. Since many single-shot approaches focus on improving depth accuracy, recovering the intrinsic properties of the scene, such as albedo and shading, is also valuable. In this paper, we propose a novel method that reconstructs not only the metric depth but also the intrinsic properties from a single structured light image. We extend the conventional color structured light model to embrace the Lambertian shading model. By using a color phase-shifting pattern, we parameterize the captured image with only two variables, albedo and depth. For an initial solution, a simple but powerful method to decompose sinusoids from the input image is presented. We formulate a nonlinear cost function and jointly optimize albedo and depth efficiently by calculating the analytic Jacobian. We demonstrate that our algorithm works reasonably on various real-world objects that exhibit challenging surface reflectance and albedo.
引用
收藏
页码:127 / 134
页数:8
相关论文
共 50 条
  • [1] Self-Distilled Depth From Single-Shot Structured Light With Intensity Reconstruction
    Li, Yue
    Peng, Jiayong
    Zhang, Yueyi
    Xiong, Zhiwei
    IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, 2023, 9 : 678 - 691
  • [2] Single-Shot Structured Light Sensor for 3D Dense and Dynamic Reconstruction
    Gu, Feifei
    Song, Zhan
    Zhao, Zilong
    SENSORS, 2020, 20 (04)
  • [3] Single-shot structured light projection profilometry with SwinConvUNet
    Wang Lei
    Lu Dunqiang
    Tao Jiaqing
    Qiu Ruowen
    OPTICAL ENGINEERING, 2022, 61 (11)
  • [4] Single-shot dense depth sensing with a tricolor RGB fringe pattern
    Lin, Qiao
    Feng, Boyun
    Shang, Xudong
    DISPLAYS, 2023, 78
  • [5] Texture Illumination Separation for Single-Shot Structured Light Reconstruction
    Vo, Minh
    Narasimhan, Srinivasa G.
    Sheikh, Yaser
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2016, 38 (02) : 390 - 404
  • [6] Separating Texture and Illumination for Single-Shot Structured Light Reconstruction
    Vo, Minh
    Narasimhan, Srinivasa G.
    Sheikh, Yaser
    2014 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW), 2014, : 433 - 440
  • [7] Bayesian network based general correspondence retrieval method for depth sensing with single-shot structured light*
    Ma, Mingming
    Niu, Yi
    Li, Ruodai
    DISPLAYS, 2021, 67
  • [8] Single-Shot Dense Depth Sensing with Color Sequence Coded Fringe Pattern
    Li, Fu
    Zhang, Baoyu
    Shi, Guangming
    Niu, Yi
    Li, Ruodai
    Yang, Lili
    Xie, Xuemei
    SENSORS, 2017, 17 (11):
  • [9] DENSE DEPTH ACQUISITION VIA ONE-SHOT STRIPE STRUCTURED LIGHT
    Li, Qin
    Li, Fu
    Shi, Guangming
    Qi, Fei
    Shi, Yuexin
    Gao, Shan
    2013 IEEE INTERNATIONAL CONFERENCE ON VISUAL COMMUNICATIONS AND IMAGE PROCESSING (IEEE VCIP 2013), 2013,
  • [10] A Single-Shot Light Probe
    Debevec, Paul
    Graham, Paul
    Busch, Jay
    Bolas, Mark
    SIGGRAPH '12: SPECIAL INTEREST GROUP ON COMPUTER GRAPHICS AND INTERACTIVE TECHNIQUES CONFERENCE, 2012,