CIS 3365 Lecture Notes - Lecture 16: Attentional Blink, Retina

• School: University of Houston
• Department: Computer Information Systems
• Course: CIS 3365
• Professor: Xuqing Wu

Document Summary

Information about visual objects is stored in a way that ties together critical features (e. g. , orientation edges and patches of color/texture) So that they can be identified, visually tracked and remembered. If we can represent data values as visual features (and group these features into visual objects), then we will have a very powerful tool for organizing related data. Two cognitive theories to explain object recognition. Image-based: we recognize an object by matching the visual image with something roughly like a snapshot stored in memory: structure-based: images are analyzed in terms of primitive forms and the structural inter-relationships between them. Both have much to recommend them and each is correct in some form, but it is also certain that the brain has different ways of analyzing visual inputs. People have a remarkable ability to remember pictures. Subjects presented with 2560 pictures (1 picture every 10 seconds)