Now showing items 1-10 of 25
From primal templates to invariant recognition
We can immediately recognize novel objects seen only once before -- in different positions on the retina and at different scales (distances). Is this ability hardwired by our genes or learned during development -- and ...
Learning Generic Invariances in Object Recognition: Translation and Scale
Invariance to various transformations is key to object recognition but existing definitions of invariance are somewhat confusing while discussions of invariance are often confused. In this report, we provide an operational ...
Werner Reichardt: the man and his scientific legacy
Excerpts from a talk given by Tomaso Poggio in Tübingen on the opening ofthe Werner Reichardt Centrun für Integrative Neurowissenschaften, December 8, 2008.
Generating and Generalizing Models of Visual Objects
We report on initial experiments with an implemented learning system whose inputs are images of two-dimensional shapes. The system first builds semantic network descriptions of shapes based on Brady's smoothed local ...
Color Vision: Representing Material Categories
We argue that one of the early goals of color vision is to distinguish one kind of material from another. Accordingly, we show that when a pair of image regions is such that one region has greater intensity at one wavelength ...
Computing Visible-Surface Representations
The low-level interpretation of images provides constraints on 3D surface shape at multiple resolutions, but typically only at scattered locations over the visual field. Subsequent visual processing can be facilitated ...
This paper examines the processing of visual information beyond the creation of the early representations. A fundamental requirement at this level is the capacity to establish visually abstract shape properties and ...
The Curvature Primal Sketch
In this paper we introduce a novel representation of the significant changes in curvature along the bounding contour of planar shape. We call the representation the curvature primal sketch. We describe an implemented ...
Complex Feature Recognition: A Bayesian Approach for Learning to Recognize Objects
We have developed a new Bayesian framework for visual object recognition which is based on the insight that images of objects can be modeled as a conjunction of local features. This framework can be used to both derive ...
Specialization of Perceptual Processes
In this report, I discuss the use of vision to support concrete, everyday activity. I will argue that a variety of interesting tasks can be solved using simple and inexpensive vision systems. I will provide a number ...