All-optical depth extraction device using hyperspectral imaging

In this paper, we present an all-optical depth extraction based on spectral imaging. Our system colors on objects according to theirs depth, and its advantage is depth extraction processing in real time without any computation. Our method executes an all-optical depth extraction both encoding and decoding. The proposed system consists of a lights source part and a spectral imaging part. Each part has an individual slit inside. The two slits are synchronized with each other. This paper demonstrate our method in experimental results.

[1]  Byoungho Lee,et al.  Profilometry without phase unwrapping using multi-frequency and four-step phase-shift sinusoidal fringe projection. , 2009, Optics express.

[2]  Valerie C. Coffey Hyperspectral Imaging for Safety and Security , 2015 .

[3]  Ce Liu,et al.  Depth Transfer: Depth Extraction from Video Using Non-Parametric Sampling , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Philipp J. Keller,et al.  Fast, high-contrast imaging of animal development with scanned light sheet–based structured-illumination microscopy , 2010, Nature Methods.

[5]  O. Sasaki,et al.  Disturbance-free distributed Bragg reflector laser-diode interferometer with a double sinusoidal phase-modulating technique for measurement of absolute distance. , 2004, Applied optics.

[6]  Joonku Hahn,et al.  Multi-spatial-frequency and phase-shifting profilometry using a liquid crystal phase modulator. , 2012, Applied optics.

[7]  Sergio Fantini,et al.  Improvement of axial resolution and contrast in temporally focused widefield two-photon microscopy with structured light illumination , 2013, Biomedical optics express.

[8]  Michael G. Strintzis,et al.  Real-time acquisition of depth and color images using structured light and its application to 3D face recognition , 2005, Real Time Imaging.

[9]  Bahram Javidi,et al.  Augmented Reality: Easy on the Eyes , 2015 .

[10]  Jason Geng,et al.  Structured-light 3D surface imaging: a tutorial , 2011 .

[11]  Andrew K. C. Wong,et al.  Fast acquisition of dense depth data by a new structured light scheme , 2005, Comput. Vis. Image Underst..