Cavanagh's pseudorealism Jan 23 - David Thompson.

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Presentation transcript:

cavanagh's pseudorealism Jan 23 - David Thompson

(Outline) 1. Marr's Model 2. Cavanagh's Model 3. What more can artists tell us about vision?

the Marr vision model

input image

the Marr vision model primal sketch

the Marr vision model 2.5-D sketch

the Marr vision model 3D model

stimulus 2½D sketch Object 3D model primal sketch viewer-centric coordinates object-centric coordinates the Marr vision model

stimulus 2½D sketch Object 3D model bottom-up reconstruction of shape from image features recognition with object- centric 3D models primal sketch viewer-centric coordinates object-centric coordinates the Marr vision model

Geons (Biederman '87)

Cavanagh's model

two-tone images

hair (not shadow!) inferred external contours “attached shadow” contour “cast shadow” contour

A. Finding 3D structure in two-tone images requires distinguishing cast shadows, attached shadows, and areas of low reflectivity B. The images do not contain this information a priori D. Therefore, our recognition process must involve matching viewpoint-specific 2D templates Cavanagh's claim

What else can art tell us about object recognition? Cavanagh's model

What else can art tell us about object recognition? Cavanagh's model neurobiologic al evidence! (Logothetis '95)

What else can art tell us about object recognition? Cavanagh's model stimulus 2D shape memory 3D shape top-down feedback basic recognition with 2D primitives

shadows and lighting

transparen cy

humans don't do ray tracing

line drawings are universal

recognition with few cues

Human object recognition uses shortcuts, not complete physical models - local lighting - simplified reflections At least some of our processing happens through “simple vision” - viewer-centric 2D template matching - simple 3D memory provides top-down feedback take-home lessons?

Marr's model (circa 1980) Cavanagh's model (circa 1990) Two models of Human visual processing stimulu s 2D shape memor y 3D shape 2½D sketch Objec t 3D model feedback basic recognition with 2D primitives reconstruction of shape from image features object recognition by matching 3D models primal sketch