Public Web Only Documents from 1998 to Present (Copyright 2005)

The Vision Feature Analysis Tool Component of the iLab Neuromorphic Vision Toolkit - 2004

T. Nathan Mundhenk, Chris Landauer, Kirstie Bellman and Laurent Itti
Web Published Document University of Southern California July
Abstract:
The Vision Feature Analysis Tool (VFAT) is designed to enable quick analysis of features in an image for the purpose of identification and tracking. This document is an overview of the VFAT which is a work in progress. It is designed to give the other project authors information they need to integrate or interoperate with it. As it is a work in progress specific information about certain aspects may be lacking but I will attempt to make some suggestion about the structure of the final implementation.

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iRoom Expert Module Standard - 2004

T. Nathan Mundhenk, Chris Landauer and Kirstie Bellman
Web Published Document University of Southern California July
Abstract:
The iRoom expert module standard (IEMS) is being developed to accomplish several objectives. The first and most notable is it should be developed to allow as effortless as possible sharing of resources authored by different individuals as part of the iRoom development project. Additionally, it should set a standard for information among experts that forces the authors of modules to think about the extensibility of the information which they can provide.

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iRoom Arch Overview - 2004

T. Nathan Mundhenk, Chris Landauer and Kirstie Bellman
Web Published Document University of Southern California July

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A review of work on modular standardization and color tracking - 2004

T. Nathan Mundhenk, Chris Landauer and Kirstie Bellman
Web Published Document University of Southern California July
Abstract:
This document outlines the proposed iRoom Expert Module Standard (IEMS) as well as gives a review of a real time color tracker, which will be used as an initial first vision tracker in the iRoom. The IEMS standard should help illuminate how as more powerful trackers are developed they can be integrated into the iRoom as easily as possible. This document contains all new material some of it mostly technical. The table of contents is there so that one can skip such sections. The technical sections are for the groups benefit. Note: I treated this as an informal write-up.

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Linear dimensionality reduction of motion information - 2004

T. Nathan Mundhenk and Laurent Itti
Web Published Document University of Southern California November
Abstract:
Like many other types of image information, motion information can be analyzed at multiple scales and in multiple directions. For instance, it is easy to imagine motion information in multiple directions. An object may move left or an object may move right. Thus, to catch motion, many filter schemes and biological systems detect motion in certain directions (Rall 1970; Prodöhl, Würtz and von der Malsberg 2003). Motion may also be detected in the absence of direction but suffers from the problem that all motion is treated equally. Thus, detecting motion without direction is no different than detecting flicker. Since we need directional information to be informative about the nature of a motion being observed we must introduce the first few dimensions of motion information, which is the direction of motion.

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The agent I think I am: Modeling symptoms and observations in schizophrenia as they relate to a sense of agency and the ability to mirror behavior - 2003

T. Nathan Mundhenk and Michael A. Arbib
Web Published Document University of Southern California

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Knowledge of Agents In Language and Action A model derived from studies of psychopathology and current models in language and action - 2002

T. Nathan Mundhenk and Michael A. Arbib
Unpublished internal Document University of Southern California December

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