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Research on the Recognition and Analysis of Complex and Dynamic Imagery
Recent literature on visual information processing contains considerable evidence that demonstrates the existence of functionally independent pattern (form) and transient (motion) systems in human vision. Research with complex static imagery and with dynamic imagery was conducted (and is reported he...
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Format: | Report |
Language: | English |
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Online Access: | Request full text |
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Summary: | Recent literature on visual information processing contains considerable evidence that demonstrates the existence of functionally independent pattern (form) and transient (motion) systems in human vision. Research with complex static imagery and with dynamic imagery was conducted (and is reported herein) for the purpose of elucidating the operation of the pattern and transient systems, respectively. Experiments on the perception of static, real-life scenes were conducted within the framework of the Fourier-analyzer model, a model which states that the spatial frequency components of visual scenes are encoded in separate channels. Priorities for the acquisition of visual information in different spatial frequency ranges were studied in recognition experiments. Complementary research on eye scans was carried out in an effort to develop procedures for correlating eye fixations with the spatial frequency content of local regions of the scenes. The results suggest that relationships between recognition performance, eye scans, and the spatial frequency content of visual scenes can provide a useful basis for characterizing the search strategies of human observers in different kinds of perceptual tasks. |
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