Three-Dimensional Recognition of Solid Objects from a Two-Dimensional Image

Title: en_US Three-Dimensional Recognition of Solid Objects from a Two-Dimensional Image
Creator: en_US Huttenlocher, Daniel Peter
Date: 2004-10-20T20:01:07Z
Date Available: 2004-10-20T20:01:07Z
Date Issued: en_US 1988-10-01
Identifier: en_US AITR-1045
uri: http://hdl.handle.net/1721.1/6841
Abstract: en_US This thesis addresses the problem of recognizing solid objects in the three-dimensional world, using two-dimensional shape information extracted from a single image. Objects can be partly occluded and can occur in cluttered scenes. A model based approach is taken, where stored models are matched to an image. The matching problem is separated into two stages, which employ different representations of objects. The first stage uses the smallest possible number of local features to find transformations from a model to an image. This minimizes the amount of search required in recognition. The second stage uses the entire edge contour of an object to verify each transformation. This reduces the chance of finding false matches.
Extent: en_US 161 p.; 15623777 bytes; 12175610 bytes
Format: application/postscript; application/pdf
Language: en_US
Relation: en_US AITR-1045
Subject: en_US computer vision; en_US model-based recognition; en_US alignment; en_US affinestransformation