release 0.0.5

• way lower jittering (virtually none in pong)

Functional changes:

• the source of the points is from ProcessA(points) instead of ProcessD(lines) for each edge direction. This "decouples" it from the logic to find the lines.

release 0.0.4

NarConSimpleWorld
A NAR(in this case ONA) can control a agent in a virtual world (simplified pong or a simplified shoot'em'up game) which is rendered as a virtual map.
The vision pipeline does:

• convolution for edge detection (8 directions)
• sampling of edges as symbolic points (by threshold) into set X
• recognition of points as lines (not strictly necessary)
• rendering of points of lines back to black/white image
• cropping of rendered image for unsupervised classifier C by proposal positions (derived from X)

generation of region proposals:

• cluster points from set X by proximity
• clusters are proposals, used for classifier C, have center and extend. Proposals are represented as AABB's

classifier C:

• unsupervised (as usual)
• online learning(as usual)
• try to find closest match by distance of stored classes
• if not found -> create new class with new class id
• if found -> return class id

release 0.0.3

working sufficiently well:
process A
process B
process C
process D
process E
process H

• variable tuning so it can deal a bit better with more complex scenes

Additional features

• use of process-E
• narsese output for line intersections
• merge lines of edge detectors

visualization

• visualization of line primitives and intersections
• drawing of primitives of line-edges

release 0.0.2

working sufficiently well:
process A
process B
process C
process D

process H is used but it wasn't checked if it works sufficiently well

additional features:

• process-D reinforcement of line detector as described by foundalis
• process-D sampling by proximity

bugfixes:

• fixed bug which lead to wrong confidence

release 0.0.1

working sufficiently well:
process A
process B
process C
process D

features

• recognition of endoskelton (as edges)
• recognition of edges in different orientations (as edges)
• conversion of edge detectors to line primitives