Flexible visual processing of spatial relationships
نویسندگان
چکیده
منابع مشابه
Flexible visual processing of spatial relationships.
Visual processing breaks the world into parts and objects, allowing us not only to examine the pieces individually, but also to perceive the relationships among them. There is work exploring how we perceive spatial relationships within structures with existing representations, such as faces, common objects, or prototypical scenes. But strikingly, there is little work on the perceptual mechanism...
متن کاملNeural correlates of visual form and visual spatial processing.
Cortico-cortical projections for visual processing that originate from the striate cortex are organized into two streams. The dorsal stream projects to the parietal region and the ventral stream to the inferior temporal region. One hypothesis is that the dorsal stream processes visual spatial information, and the ventral stream processes visual object information. Although recognition of human ...
متن کاملSpatial processing and visual backward masking
Most theories of visual masking focus prima-rily on the temporal aspects of visual information processing, strongly neglecting spatial factors. In recent years, however, we have shown that this position is not tenable. Spatial aspects cannot be neglected in metacontrast, pattern and un-masking. Here, we review these results.
متن کاملVisual Grounding of Spatial Relationships for Failure Detection
For reliable interaction with everyday objects, personal robots should be capable of visually detecting failures. Understanding spatial relationships between objects (e.g. a screw in a hole) can be useful in determining whether a task was successfully completed or not (e.g. a furniture assembly task). In this work, we show how images, along with natural language descriptions of the spatial rela...
متن کاملEasyXplorer: A Flexible Visual Exploration Approach for Multivariate Spatial Data
Exploring multivariate spatial data attracts much attention in the visualization community. The main challenge lies in that automatic analysis techniques is insufficient in discovering complicated patterns with the perspective of human beings, while visualization techniques are incapable of accurately identifying the features of interest. This paper addresses this contradiction by enhancing aut...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Vision
سال: 2011
ISSN: 1534-7362
DOI: 10.1167/11.11.268