Now showing items 1-6 of 6
Model-Based Matching of Line Drawings by Linear Combinations of Prototypes
We describe a technique for finding pixelwise correspondences between two images by using models of objects of the same class to guide the search. The object models are 'learned' from example images (also called ...
A Trainable Object Detection System: Car Detection in Static Images
This paper describes a general, trainable architecture for object detection that has previously been applied to face and peoplesdetection with a new application to car detection in static images. Our technique is a ...
Information Dissemination and Aggregation in Asset Markets with Simple Intelligent Traders
Various studies of asset markets have shown that traders are capable of learning and transmitting information through prices in many situations. In this paper we replace human traders with intelligent software agents ...
Learning-Based Approach to Real Time Tracking and Analysis of Faces
This paper describes a trainable system capable of tracking faces and facialsfeatures like eyes and nostrils and estimating basic mouth features such as sdegrees of openness and smile in real time. In developing this ...
A Note on Object Class Representation and Categorical Perception
We present a novel scheme ("Categorical Basis Functions", CBF) for object class representation in the brain and contrast it to the "Chorus of Prototypes" scheme recently proposed by Edelman. The power and flexibility ...
Model-Based Matching by Linear Combinations of Prototypes
We describe a method for modeling object classes (such as faces) using 2D example images and an algorithm for matching a model to a novel image. The object class models are "learned'' from example images that we call ...