Simultaneous measurement of spectral distribution and shape

Manabe, Yoshitsugu; Kurosaka, S.; Chihara, Kazuo

doi:10.1109/icpr.2000.903666

Cited by 10 publications

(5 citation statements)

References 2 publications

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“…4 The other approach pursues much higher spectral resolution by use of a spectrograph imager that expands a 1-D slit image to a 2-D spatial-spectral image on its CCD focal plane. 5,6 Unfortunately, the former approach is greatly limited in spectral resolution whereas the latter suffers the problem of data volume and speed. This trade-off is never solved unless the measurement of spectral function pixel-wise is no more an inevitable step of the object recognition.…”

Section: Introductionmentioning

confidence: 99%

<title>Spectral matching imager using correlation image sensor and variable-wavelength illumination</title>

et al. 2002

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This paper proposes a spectrally selective imaging system called "spectral matching imager," which consists of the variable wavelength monochrome light source and the correlation image sensor. The variable wavelength monochrome light source illuminates the scene while sweeping its wavelength with time to expand the spectral reflectance/transmittance function of objects along the time axis. At each pixel, the correlation image sensor produces the correlation in the time domain between the expanded spectral function and a reference spectral function. Consequently, pixels that establish a good spectral match have large values in the output image. The spectral matching imager satisfies 1) high spectral resolution, 2) efficient data compression, and 3) tunability to arbitrary optical filter characteristics. Experimental results demonstrate successful detection of objects having detailed narrowband structures, such as glass pieces doped with rare-earth elements.

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Section: Introductionmentioning

confidence: 99%

<title>Spectral matching imager using correlation image sensor and variable-wavelength illumination</title>

et al. 2002

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“…Manabe et al presented an interesting approach to represent spectral information as 3D model. They first constructed 3D model using two different hardware and then mapped the spectral information to the 3D model [16]. This method does not explore relationship between spectra and structure.…”

Section: Introductionmentioning

confidence: 99%

3D Reconstruction from Hyperspectral Images

Zia

Liang

Zhou

et al. 2015

2015 IEEE Winter Conference on Applications of Computer Vision

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Abstract3D reconstruction from hyperspectral images has seldom been addressed in the literature. This is a challenging problem because 3D models reconstructed from different spectral bands demonstrate different properties. If we use a single band or covert the hyperspectral image to grayscale image for the reconstruction, fine structural information may be lost. In this paper, we present a novel method to reconstruct a 3D model from hyperspectral images. Our proposed method first generates 3D point sets from images at each wavelength using the typical structure from motion approach. A structural descriptor is developed to characterize the spatial relationship between the points, which allows robust point matching between two 3D models at different wavelength. Then a 3D registration method is introduced to combine all band-level models into a single and complete hyperspectral 3D model. As far as we know, this is the first attempt in reconstructing a complete 3D model from hyperspectral images. This work allows fine structural-spectral information of an object be captured and integrated into the 3D model, which can be used to support further research and applications.

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“…Multiband imaging systems reported thus far employ either an acousto-optic tunable filter, [16][17][18][19] a set of genatin color filters, [20][21][22] a liquid-crystal tunable filter, 23,24 an interference filter wheel, 25 or an imaging spectrograph consisting of two prisms and a grating. 26,27 A practical problem with these spectral imaging systems is the significant amount of time it takes to acquire a set of multiband images. This makes it difficult to acquire spectral images of an object undergoing dynamic motion or deformation because the position or shape of the object is different in each multiband image.…”

Section: Introductionmentioning

confidence: 99%

Three-phase quadrature spectral matching imager using correlation image sensor and wavelength-swept monochromatic illumination

et al. 2011

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We propose a three-phase spectral matching imager (3PSMI) to realize a novel spectral matching method called quadrature spectral matching (QSM) in real time. The 3PSMI is comprised of the correlation image sensor (CIS) and wavelength-swept monochromatic illumination (WSMI) to perform QSM at each pixel on the CIS at a video frame rate. QSM consists of spectral correlation between an ac component of an object spectrum and an orthonormal pair of reference spectra, being equivalent to projecting the ac object spectrum onto a two-dimensional subspace spanned by the reference spectra. Similarity of the ac object spectrum to the reference spectra is evaluated in terms of the azimuth angle of the projection, independently of the norm of the ac object spectrum as well as spatial intensity distribution of the WSMI. A programable spectral light source is employed to implement the WSMI so that the spectral characteristics of the WSMI and CIS cancel each other and thus do not affect QSM on the 3PSMI. Experimental results confirm that the developed 3PSMI system can distinguish objects with smaller difference in spectral reflectance in real time than RGB imaging with off-the-shelf cameras.

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Simultaneous measurement of spectral distribution and shape

Cited by 10 publications

References 2 publications

<title>Spectral matching imager using correlation image sensor and variable-wavelength illumination</title>

<title>Spectral matching imager using correlation image sensor and variable-wavelength illumination</title>

3D Reconstruction from Hyperspectral Images

Three-phase quadrature spectral matching imager using correlation image sensor and wavelength-swept monochromatic illumination

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