How spatial frequencies and color drive object search in real-world scenes: A new eye-movement corpus
| Autor: | Ralf Engbert, Jochen Laubrock, Anke Cajar |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
genetic structures
Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION spatial frequencies Grayscale 050105 experimental psychology Article 03 medical and health sciences 0302 clinical medicine gaze-contingent displays 0501 psychology and cognitive sciences Computer vision ComputingMethodologies_COMPUTERGRAPHICS business.industry 05 social sciences Eye movement Object (computer science) Sensory Systems Visual field scene viewing color Ophthalmology Identification (information) eye movements central and peripheral vision Quantitative Biology - Neurons and Cognition FOS: Biological sciences Saccade Peripheral vision Neurons and Cognition (q-bio.NC) Spatial frequency Artificial intelligence business object search 030217 neurology & neurosurgery |
| Zdroj: | Journal of Vision |
| DOI: | 10.48550/arxiv.1910.09904 |
| Popis: | When studying how people search for objects in scenes, the inhomogeneity of the visual field is often ignored. Due to physiological limitations peripheral vision is blurred and mainly uses coarse-grained information (i.e., low spatial frequencies) for selecting saccade targets, whereas high-acuity central vision uses fine-grained information (i.e., high spatial frequencies) for analysis of details. Here we investigated how spatial frequencies and color affect object search in real-world scenes. Using gaze-contingent filters we attenuated high or low frequencies in central or peripheral vision while viewers searched color or grayscale scenes. Results showed that peripheral filters and central high-pass filters hardly affected search accuracy, whereas accuracy dropped drastically with central low-pass filters. Peripheral filtering increased the time to localize the target by decreasing saccade amplitudes and increasing number and duration of fixations. The use of coarse-grained information in the periphery was limited to color scenes. Central filtering increased the time to verify target identity instead, especially with low-pass filters. We conclude that peripheral vision is critical for object localization and central vision is critical for object identification. Visual guidance during peripheral object localization is dominated by low-frequency color information, whereas high-frequency information, relatively independent of color, is most important for object identification in central vision. Comment: 29 pages, 6 figures |
| Databáze: | OpenAIRE |
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