Model-image feedback is one example of the general measurement-explanatory feedback loop which is in turn a special case of the cognitive action cycle postulated to be the fundamental architecture of building blocks of the event oriented world view. It is important because this special case is restricted to computer image generation from limited real world databases that can be compared with image capture records from the actual world. This restriction and its potential implementation in modern computer systems make this branch of action cycle theory ripe for commercial development of practical applications.

Three areas included in this section are:

1. Perspective view generation which maps into the real world model measurement branch of a cognitive action cycle.
2. Database creation which maps into the explanatory branch of the cognitive action cycle
3. Applications maps into the hierarchical loop structures characteristic of mental processing and externalized when requisite data flows routed through brain extensions such as paper and ink or computer aids.

Perspective View Generation:   

Battlefield Visualization Using One Meter Terrain (2008)-

Description of the Perspective View Nascent Technologies (PVNT) system designed to generate metric and radio-metrically accurate views from aerial platform perspectives.

Database Creation:

Use of image feedback loops for real time terrain feature extraction (1999)-

This paper provides a top level mathematical description of the image-feedback algorithm and provides error analysis in terrain measurement applications.

Rapid Terrain Database Generation using Image Differencing and 3D Terrain Editing Tools (2003)-

This paper describes interactive 3D terrain database editing tools available in the PVNT system that allows the terrain database to be updated using a comparison between calculated views generated from a currently available database and measured views from fielded cameras.

Battlefield Visualization and Database Creation System Using One Meter Terrain (2005)-

This paper describes the PVNT system and how it automates Steve Lehar’s method for human vision-brain systems in computers with a process of interactive 3D model building we call model-image feedback.

Automating Terrain Generation From UAV Sensors (2009)-

This paper addresses near real-time terrain data base updating and the image geo-registration problem using model-image feedback algorithm to achieve sub-meter accuracies between current and new data 

Shadow and Feature Recognition Aids for rapid Image Geo-Registration in UAV Vision System Architectures(2009)-

This paper describes the algorithm and metric improvement from calculating shadows, and local vegetation heights when using image comparison for registration, orthorectification, and database updating. The results of field tests using such improved rendering algorithms are presented.

Analysis and Simulations: 

The Utility of Fire and Forget Technology Demonstrated Using 1-meter Terrain (2004)-

This paper demonstrates the use of high resolution terrain database that includes local feature heights and intrinsic earth material characteristics for generating metrically accurate simulations used to compare the effectiveness of various weapons technologies. 

Compact Line-of-Sight Server for Geometric Pairing In Operational Test Applications (2004)-

This presentation describes the use of real time perspective view generation for line-of-sight and delectability calculations when using geometric pairing rather than laser pairing (used in laser tag games) and operational force-on force testing.

Modeling Terrain for Geo-paring and Casualty Assessment in OneTESS (2008)-

This paper shows how the PVNT real-time perspective view generation software and its enhanced accuracy features can be integrated into an ongoing program of record to deliver geo-pairing and casualty assessment calculations.