Infrared polarization imaging is a new kind of infrared detection technology developed in recent ten years. Different
from the traditional detection method of infrared imaging, infrared polarization imaging can not only obtain infrared
radiation intensity information of targets, but also obtain the infrared radiation polarization information. So the
polarization of the target scene is the physical basis of infrared polarization imaging detection.
On the basis of the research about infrared polarization imaging theory, the characteristics of long-wave infrared
polarization detection was analyzed in this paper. Firstly, the paper studied long-wave infrared polarization state and
interaction effect which coming from the spontaneous emission of target and environment, then designed the analysis
experiment about long-wave infrared polarization characteristics that coming from spontaneous radiation, further and
verified the forming mechanism of long wave infrared polarization. Through the several experiments that the long wave
polarization information of different material objects being measured, a physical phenomenon was found that with the
long-wave thermal radiation transmitting form high temperature object to low temperature object, the polarization
characteristics transfer process had been happened at the same time, and the degree of this transfer was associated with
the material and self-temperature of the objects.
KEYWORDS: Laser range finders, Spherical lenses, 3D image processing, 3D modeling, Object recognition, Principal component analysis, Data modeling, Feature extraction, Error analysis, Lithium
The description of local surface features is a critical step in surface matching and object recognition. We present a descriptor for three-dimensional shapes based on the bispectrum of spherical harmonics (BSH). First, points in a support region of a feature point are used to construct a local reference frame, and a histogram is formed by accumulating the points falling within each bin in the support region. Second, spherical harmonic coefficients of the histogram and its bispectrum are calculated. Finally, the feature descriptor is obtained via principal component analysis. We tested our BSH descriptor on public datasets and compared its performance with that of several existing methods. The results of our experiments show that the proposed descriptor outperforms other methods under various noise levels and mesh resolutions.
Liquid crystal optical phased array (LCOPA) is a kind of spatial light modulator(SLM) which is now widely studied in the field of laser radar, adaptive optics, optical information processing, etc. The calibration of the voltage-phase characteristic of a LCOPA is an important step which will seriously affect the performance of a LCOPA. Firstly, derived the relationship between the phase distribution of the emergent light and light intensity in the far-field. Designed an optic path to calibrate the voltage-phase characteristic. And built up a observation equation. Introduced a weight matrix to reduce the errors caused by the impact of phenomena such as the fly-back. Proposed a new calibration algorithm based on the measurement of light intensity. A checkerboard pattern with a period of M pixels per check was used in the calibration routine. Fix the control voltage of one region, and change the voltage in another region. The light pattern in the far-field changes with the control voltage. Measure the intensity of the light beam at the center of the far-field. Then, obtain the raw data. Filter and normalize the raw data. And calculate the phase difference between two regions. Use weighted least square method to get the relationship between the control voltage and the phase retardation. Lastly, using this method to calibrate a LCOPA which is produced by BNS corp.
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