Paper Info
Title
Dual Structured Light 3d Using A 1d Sensor
Abstract
Structured light-based 3D reconstruction methods often illuminate a scene using patterns with 1D translational symmetry such as stripes, Gray codes or sinusoidal phase shifting patterns. These patterns are decoded using images captured by a traditional 2D sensor. In this work, we present a novel structured light approach that uses a 1D sensor with simple optics and no moving parts to reconstruct scenes with the same acquisition speed as a traditional 2D sensor. While traditional methods compute correspondences between columns of the projector and 2D camera pixels, our 'dual' approach computes correspondences between columns of the 1D camera and 2D projector pixels. The use of a 1D sensor provides significant advantages in many applications that operate in short-wave infrared range (0.9-2.5microns) or require dynamic vision sensors (DVS), where a 2D sensor is prohibitively expensive and difficult to manufacture. We analyze the proposed design, explore hardware alternatives and discuss the performance in the presence of ambient light and global illumination.
Year
DOI
Venue
2016
10.1007/978-3-319-46466-4_23
COMPUTER VISION - ECCV 2016, PT VI
Keywords
Field
DocType
Structured light, Dual photography
Computer vision,Structured light,Translational symmetry,Computer science,Projector,Gray code,Artificial intelligence,Pixel,Global illumination,3D reconstruction,Phase (waves)
Conference
Volume
ISSN
Citations 
9910
0302-9743
2
PageRank 
References 
Authors
0.36
11
4
Name
Order
Citations
PageRank
Jian Wang120.36
Aswin C. Sankaranarayanan277051.51
Mohit Gupta348931.55
Narasimhan, S.G.42348169.35