home › event - using anchor points to define and transfer spatial regions based on context


Using Anchor Points to Define and Transfer Spatial Regions Based on Context
Conferences & Talks

Qualitative Reasoning Workshop

16 July 2012



In order to collaborate with people in the real world, AI systems must be able to represent and reason about spatial regions in human environments. Consider the command “go to the front of the classroom”. The spatial region mentioned (the front of the classroom) is not perceivable using geometry alone. Instead it is defined by its functional use, implied by nearby objects and their configuration. In this paper, we define such areas as context-dependent spatial regions and present a system able to learn them by combining qualitative spatial representations, semantic labels, and analogy. The system is capable of generating a collection of qualitative spatial representations describing the configuration of the entities it perceives in the world. It can then be taught context-dependent spatial regions using anchor points defined on these representations. From this we then demonstrate how an existing computational model of analogy can be used to detect context-dependent spatial regions in previously unseen rooms. To evaluate this process we compare detected regions to annotations made on maps of real rooms by human volunteers.

upcoming events   view all 

The Fourth Transformation: How AR & AI Change Everything
Robert Scoble, Shel Israel
27 April 2017 | George E. Pake Auditorium, PARC
PARC Forum  

Next Frontier of AI
Tolga Kurtoglu
3 May 2017 - 4 May 2017 | Istanbul, Turkey
Conferences & Talks  

Tutorial: Printing 3D Functional Objects and Devices
14 May 2017
Conferences & Talks