Recovering Intrinsic Scene Characteristics from Images
Interim technical rept. 28 Sep 1980-27 Sep 1981
SRI INTERNATIONAL MENLO PARK CA
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The central theme of our research is the recovery of information about the three-dimensional structure and physical characteristics of surfaces depicted in an image -- their shapes, locations, and photometric properties. The main obstacle to surface recovery is the confounding of the desired properties in the sensory data images are inherentlly ambiguous. Our approach to resolving this ambiguity rests on the application of generic, low-level knowledge e.g., such basic assumptions as surface continuity and general position to constrain the interpretation. The problem may be viewed as that of decomposing the image into its physically meaningful constituents -- surface orientation, reflectance, illumination, and so on. The intrinsic image model provides a conceptual and computational framework in which this view is made explicit. Surface perception plays a fundamental role in early visual processing, both in humans and in machines. Work on surface perception has focused on the discrimination of edge types e.g., extremal boundary or cast shadow, on the three-dimensional interpretation of edges, and on surface reconstruction by interpolating from edges and using texture geometry.
- Human Factors Engineering and Man Machine Systems