Feature binding of a continuously changing object
نویسندگان
چکیده
منابع مشابه
Feature binding, attention and object perception.
The seemingly effortless ability to perceive meaningful objects in an integrated scene actually depends on complex visual processes. The 'binding problem' concerns the way in which we select and integrate the separate features of objects in the correct combinations. Experiments suggest that attention plays a central role in solving this problem. Some neurological patients show a dramatic breakd...
متن کاملA Formal Theory of Feature Binding in Object Perception
Visual objects are perceived correctly only if their features are identified and then bound together. Illusory conjunctions result when feature identification is correct but an error occurs during feature binding. A new model is proposed that assumes feature binding errors occur because of uncertainty about the location of visual features. This model accounted for data from 2 new experiments be...
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The binding problem, e.g. [1]; [2], how information is integrated, and coherent representational states established in distributed neuronal systems [3] remains a major conceptual problem in neuroscience. This study was designed to achieve a further understanding of the object feature binding problem by analysing the occurrence and proximity of spatial and temporal errors in a search task. A pos...
متن کاملA formal theory of feature binding in object perception.
Visual objects are perceived correctly only if their features are identified and then bound together. Illusory conjunctions result when feature identification is correct but an error occurs during feature binding. A new model is proposed that assumes feature binding errors occur because of uncertainty about the location of visual features. This model accounted for data from 2 new experiments be...
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Automatic processes on seismic data using pattern recognition is one of the interesting fields in geophysical data interpretation. One part is the seismic object detection using different supervised classification methods that finally has an output as a probability cube. Object detection process starts with generating a pickset of two classes labeled as object and non-object and then selecting ...
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ژورنال
عنوان ژورنال: Journal of the Optical Society of America A
سال: 2012
ISSN: 1084-7529,1520-8532
DOI: 10.1364/josaa.29.00a128