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PeopleFinder

This paper discusses the motivation, problem, approach, current state, and a perceptual test of the PeopleFinder system, which aims to quickly find a face in a database of images by utilizing zooming and flashing techniques. The motivation behind this system is to address the challenge of searching for faces without relying on text and taking into account possible memory deficits and disrupted categories. The current state of the system involves utilizing the PhotoMesa approach combined with flashing images and scaling on the fly, while staying within boundaries and incorporating categorization. The paper concludes by discussing the potential of PeopleFinder as a tool for efficient face identification in image databases.

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PeopleFinder

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  1. PeopleFinder Rhian Davies cs533

  2. Introduction • Motivation • Problem • Approach • Current state • Perceptual test

  3. Motivation • Aphasia: • involves language problems • is neurogenic • is acquired • is not a problem of sensation of intellect

  4. Problem • How can a set of images of faces be searched quickly? • No reliance on text. • Possible memory deficits (hierarchies cannot be too deep). • Possibility that categories are disrupted.

  5. Approach • PhotoMesa approach • http://www.cs.umd.edu/hcil/photomesa/ • Perceptual system’s ability to recognize an image after a fraction of a second exposure. • Allan Paivio and Kal Csapo. Concrete image and verbal memory codes. Journal of Experimental Psychology, 80(2):279--285, 1969.

  6. PhotoMesa

  7. Current State • Toolkit: Piccolo • PhotoMesa approach, combined with flashing image (what’s optimal). • Scaling on the fly. • Staying within boundaries. • Categorization. • Brain damage and seizures.

  8. Perceptual Test • Can faces be identified when flashed at a rate of 16 images per second?

  9. Conclusion • PeopleFinder: • a way to quickly find a face in a database of images using zooming and flashing.

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