The quickhull algorithm for convex hulls
ACM Transactions on Mathematical Software (TOMS)
Algorithms for Defining Visual Regions-of-Interest: Comparison with Eye Fixations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Identifying fixations and saccades in eye-tracking protocols
ETRA '00 Proceedings of the 2000 symposium on Eye tracking research & applications
Eye movements and smart technology
Computers in Biology and Medicine
Scanpaths in reading and picture viewing: Computer-assisted optimization of display conditions
Computers in Biology and Medicine
Spontaneous eye movements during visual imagery reflect the content of the visual scene
Journal of Cognitive Neuroscience
Automatic eye fixations identification based on analysis of variance and covariance
Pattern Recognition Letters
Human-vision-based selection of image processing algorithms for planetary exploration
IEEE Transactions on Image Processing
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Many high cognitive applications, such as vision processing and representation and understanding of images, often need to analyse in detail how an ongoing visual search was performed in a representative subset of the image, which may be arranged into sequences of loci, called regions of interest (ROIs). We used the Trial Making Test (TMT) in which subjects are asked to fixate a sequence of letters and numbers in a logical alphanumeric order. The main characteristic of TMT is to force the subject to perform a default and well-known path. The comparison of the expected scan-path with the observed scan-path provides a valuable method to investigate how a task force the subject to maintain a top-down internal representation of execution and how bottom-up influences the performance. We developed a mechanism that analyses the scan path using different algorithms, and we compared it with other methods: we found that fixations outside the ROI are direct influence of exploration strategy. The paper discusses the method in healthy subjects.