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Average aligned color images from single chunks (top left) are warped into a common reference frame (top right), using correlation-based alignment (Methods).
We provide distributed algorithms for solving the three main issues associated to a map merging scenario: establishing a common reference frame, solving the data association, and merging the maps.
One possible approach to relative localization for pursuit robots is, rather than simply tracking and estimating a relative robot target position in each frame, joint localization, in which the purser and target are both localized with respect to a common reference frame.
For instance, a common reference frame for the representation of time, space and number has recently been proposed (Bueti & Walsh, 2009; Dehaene & Brannon, 2011) and evidence in favor of the existence of interferences across magnitudes is on the rise (Lambrechts et al., 2013).
Firstly, each image I 1, …, I N is warped into a common reference frame - usually the mean shape s ¯.
When multiple scans, taken from different locations, represent the same scene these must be registered to a common reference frame.
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We illustrate our experience in developing and implementing algorithms for map merging, i.e., the problem of fusing two or more partial maps without common reference frames into one large global map.
To solve such a high-level problem, each sensor report must be successfully recorded in a common spatial reference frame and the position of the sensors must be determined.
The capabilities include normalization of metabolite signal intensities and transformation into a common spatial reference frame, thereby allowing the formation of a database of MR-measured human metabolite values as a function of acquisition, spatial and subject parameters.
For control design purpose, the d-axis oriented along the stator flux is used in Fig. 3 and all control variables will ultimately be transformed into the common dq reference frame.
The dendritic arbor of each recorded neuron was reconstructed and transformed into the common SN reference frame (dotted line).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com