We describe an analysis method of the omnidirectional color signals in natural scenes. A multiband imaging system with six spectral channels is used for capturing high resolution images in the omnidirectional observations at three locations on campus. The spectral distributions of color signals are recovered using the Wiener estimator from the captured six-band images. The spectral compositions of omnidirectional color signals are investigated based on the PCA of each set of color signals acquired at three locations in different seasons and different times of the day. Three principal components are extracted from three sets of omnidirectional images observed in three different locations. The respective three principal component curves are invariant under seasonal and temporal changes. Moreover, we determine the unified principal components of color signals across all locations. High data compression of omnidirectional images can be achieved. The reliability of the proposed analysis method is confirmed using various experimental data.
We propose a method for automatically classifying multiple objects in a natural scene into metal or dielectric. We utilize
polarization property in order to classify the objects into metal and dielectric, and surface-spectral reflectance in order to
segment the scene image into different object surface regions. An imaging system is developed using a liquid crystal
tunable filter for capturing both polarization and spectral images simultaneously. Our classification algorithm consists of
three stages; (1) highlight detection based on luminance threshold, (2) material classification based on the spatial
distribution of the degree of polarization at the highlight area, and (3) image segmentation based on illuminant-invariant
representation of the spectral reflectance. The feasibility of the proposed method is examined in detail in experiments
using real-world objects.
In this paper, we have clarified the relationship between ambient illumination and psychological factors in viewing of
display images. Psychological factors were obtained by the factor analysis with the results of the semantic differential
(SD) method. In the psychological experiments, subjects evaluated the impressions of displayed images with changing
ambient illuminating conditions. The illumination conditions were controlled by a fluorescent ceiling light and a color
LED illumination which was located behind the display. We experimented under two kinds of conditions. One was the
experiment with changing brightness of the ambient illumination. The other was the experiment with changing the colors
of the background illumination. In the results of the experiment, two factors "realistic sensation, dynamism" and
"comfortable," were extracted under different brightness of the ambient illumination of the display surroundings. It was
shown that the "comfortable" was improved by the brightness of display surroundings. On the other hand, when the
illumination color of surroundings was changed, three factors "comfortable," "realistic sensation, dynamism" and
"activity" were extracted. It was also shown that the value of "comfortable" and "realistic sensation, dynamism"
increased when the display surroundings were illuminated by the average color of the image contents.
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