Dense Depth and Albedo from a Single-shot Structured Light
被引:6
|
作者:
Ha, Hyowon
论文数: 0引用数: 0
h-index: 0
机构:
Korea Adv Inst Sci & Technol, Daejeon, South KoreaKorea Adv Inst Sci & Technol, Daejeon, South Korea
Ha, Hyowon
[1
]
Park, Jaesik
论文数: 0引用数: 0
h-index: 0
机构:
Korea Adv Inst Sci & Technol, Daejeon, South KoreaKorea Adv Inst Sci & Technol, Daejeon, South Korea
Park, Jaesik
[1
]
Kweon, In So
论文数: 0引用数: 0
h-index: 0
机构:
Korea Adv Inst Sci & Technol, Daejeon, South KoreaKorea Adv Inst Sci & Technol, Daejeon, South Korea
Kweon, In So
[1
]
机构:
[1] Korea Adv Inst Sci & Technol, Daejeon, South Korea
来源:
2015 INTERNATIONAL CONFERENCE ON 3D VISION
|
2015年
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.
机构:
Shenzhen Univ, Coll Phys & Optoelect Engn, Shenzhen 518060, Peoples R China
Dongguan Univ Technol, Sch Elect Engn & Intelligentizat, Dongguan 523808, Peoples R ChinaShenzhen Univ, Coll Phys & Optoelect Engn, Shenzhen 518060, Peoples R China
Zhang, Qinnan
Chen, Jiawei
论文数: 0引用数: 0
h-index: 0
机构:
Shenzhen Univ, Coll Phys & Optoelect Engn, Shenzhen 518060, Peoples R ChinaShenzhen Univ, Coll Phys & Optoelect Engn, Shenzhen 518060, Peoples R China
Chen, Jiawei
Li, Jiaosheng
论文数: 0引用数: 0
h-index: 0
机构:
South China Normal Univ, Guangdong Prov Key Lab Nanophoton Funct Mat & Dev, Guangzhou 510006, Peoples R ChinaShenzhen Univ, Coll Phys & Optoelect Engn, Shenzhen 518060, Peoples R China
Li, Jiaosheng
Bo, En
论文数: 0引用数: 0
h-index: 0
机构:
BGI Shenzhen, MGI, Shenzhen 518083, Peoples R ChinaShenzhen Univ, Coll Phys & Optoelect Engn, Shenzhen 518060, Peoples R China
Bo, En
Jiang, Heming
论文数: 0引用数: 0
h-index: 0
机构:
BGI Shenzhen, MGI, Shenzhen 518083, Peoples R ChinaShenzhen Univ, Coll Phys & Optoelect Engn, Shenzhen 518060, Peoples R China
Jiang, Heming
Lu, Xiaoxu
论文数: 0引用数: 0
h-index: 0
机构:
South China Normal Univ, Guangdong Prov Key Lab Nanophoton Funct Mat & Dev, Guangzhou 510006, Peoples R ChinaShenzhen Univ, Coll Phys & Optoelect Engn, Shenzhen 518060, Peoples R China
Lu, Xiaoxu
Zhong, Liyun
论文数: 0引用数: 0
h-index: 0
机构:
South China Normal Univ, Guangdong Prov Key Lab Nanophoton Funct Mat & Dev, Guangzhou 510006, Peoples R ChinaShenzhen Univ, Coll Phys & Optoelect Engn, Shenzhen 518060, Peoples R China
Zhong, Liyun
Tian, Jindong
论文数: 0引用数: 0
h-index: 0
机构:
Shenzhen Univ, Coll Phys & Optoelect Engn, Shenzhen 518060, Peoples R ChinaShenzhen Univ, Coll Phys & Optoelect Engn, Shenzhen 518060, Peoples R China