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Spatial ability is the capacity to understand, reason and remember the visual and spatial relations among objects or space. [1] There are four common types of spatial abilities: spatial or visuo-spatial perception, spatial visualization, mental folding and mental rotation. [3]
For example, computer vision and object based indexing can be used to both identify an object and assist a user in navigating from the location. Spatial contextual awareness plays a key role in this process as it provides an initial geo-reference of the location while simplifying the object recognition process to a manageable degree. [14]
For example, the orientation in space of a line, line segment, or vector can be specified with only two values, for example two direction cosines. Another example is the position of a point on the Earth, often described using the orientation of a line joining it with the Earth's center, measured using the two angles of longitude and latitude.
Common geometric terms of location are: Radial (solid and colored lines) and circumferential roads (dashed and gray lines) in Metro Manila's road network. Axial – along the center of a round body, or the axis of rotation of a body; Radial – along a direction pointing along a radius from the center of an object, or perpendicular to a curved ...
Simple spacetime diagrams can help clarify the issues related to locality. [2] A way to describe the issues of locality suitable for discussion of quantum mechanics is illustrated in the diagram. A particle is created in one location, then split and measured in two other, spatially separated, locations. The two measurements are named for Alice ...
Two internal components of a complex object can express (the above) binary relations between them, and ternary relations, using the whole object as a frame of reference. Some relations can be expressed by an abstract component, such the center of mass of the binary star, or a center line of the river.
In computer vision, the pose of an object is often estimated from camera input by the process of pose estimation. This information can then be used, for example, to allow a robot to manipulate an object or to avoid moving into the object based on its perceived position and orientation in the environment.
The integration of this information in the hippocampus makes the hippocampus a practical location for cognitive mapping, which necessarily involves combining information about an object's location and its other features. [19] O'Keefe and Nadel were the first to outline a relationship between the hippocampus and cognitive mapping. [8]