Reasoning about depth and motion from an observer's viewpoint

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12 Citations (Scopus)


The goal of this paper is to present a logic-based formalism for representing knowledge about objects in space and their movements, and show how this knowledge could be built up from the viewpoint of an observer immersed in a dynamic world. In this paper space is represented using functions that extract attributes of depth, size and distance from snapshots of the world. These attributes compose a novel spatial reasoning system named Depth Profile Calculus (DPC). Transitions between qualitative relations involving these attributes are represented by an extension of this calculus called Dynamic Depth Profile Calculus (DDPC). We argue that knowledge about objects in the world could be built up via a process of abduction on DDPC relations.

Original languageAmerican English
Pages (from-to)133-178
Number of pages46
JournalSpatial Cognition and Computation
Issue number2
Publication statusPublished - 1 Dec 2007
Externally publishedYes


  • Abduction
  • Cognitive robotics
  • Spatial reasoning


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