Browsing AI Memos (1959 - 2004) by Author "Freeman, William T."
Now showing items 1-8 of 8
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Context-Based Vision System for Place and Object Recognition
(2003-03-19)While navigating in an environment, a vision system has to be able to recognize where it is and what the main objects in the scene are. In this paper we present a context-based vision system for place and object ... -
Contextual models for object detection using boosted random fields
(2004-06-25)We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which uses Boosting to learn the graph structure and local ... -
Nonparametric Belief Propagation and Facial Appearance Estimation
(2002-12-01)In many applications of graphical models arising in computer vision, the hidden variables of interest are most naturally specified by continuous, non-Gaussian distributions. There exist inference algorithms for discrete ... -
Properties and Applications of Shape Recipes
(2002-12-01)In low-level vision, the representation of scene properties such as shape, albedo, etc., are very high dimensional as they have to describe complicated structures. The approach proposed here is to let the image itself ... -
Recovering Intrinsic Images from a Single Image
(2002-09-01)We present an algorithm that uses multiple cues to recover shading and reflectance intrinsic images from a single image. Using both color information and a classifier trained to recognize gray-scale patterns, each image ... -
Shape Recipes: Scene Representations that Refer to the Image
(2002-09-01)The goal of low-level vision is to estimate an underlying scene, given an observed image. Real-world scenes (e.g., albedos or shapes) can be very complex, conventionally requiring high dimensional representations which ... -
Shape-Time Photography
(2002-01-10)We introduce a new method to describe, in a single image, changes in shape over time. We acquire both range and image information with a stationary stereo camera. From the pictures taken, we display a composite image ... -
Sharing visual features for multiclass and multiview object detection
(2004-04-14)We consider the problem of detecting a large number of different classes of objects in cluttered scenes. Traditional approaches require applying a battery of different classifiers to the image, at multiple locations and ...
