Shape features learned for object classification can predict behavioral discrimination of written symbols
نویسندگان
چکیده
منابع مشابه
OBJECT RECOGNITION USING SHAPE AND BEHAVIORAL FEATURES by Chetan Bhole
Object Recognition is the domain of computer vision that deals with the classification of objects in two or three dimensions as instances of predetermined object classes, and is useful for image analysis and understanding. One of the most powerful properties used for recognition of objects is the shape of the object. Other features traditionally used include color, texture, moments and other at...
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A method for representing geographic symbols for storage and retrieval in an image database is presented. Symbols are characterized by a collection of features that describe their shape. Many of these geographic symbols are composed of a circle (or rectangle) enclosing one or more small shapes. A new representation of such symbols based on their interior with the shapes considered as holes, ter...
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In this study, a Brain-Computer Interface (BCI) in Silent-Talk application was implemented. The goal was an electroencephalograph (EEG) classifier for three different classes including two imagined words (Man and Red) and the silence. During the experiment, subjects were requested to silently repeat one of the two words or do nothing in a pre-selected random order. EEG signals were recorded by ...
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ژورنال
عنوان ژورنال: Journal of Vision
سال: 2019
ISSN: 1534-7362
DOI: 10.1167/19.10.32d