Vision & Cognition Laboratory

Department of Computer Science, Drexel University

 
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Drexel Object Occlusion Repository (DOOR)

The Drexel Object Occlusion Repository is a syntactic set of images constructed from the COIL-20 database from Columbia University [2]. In a previous work [3] our tests with the COIL-20 database indicated a need for a set of reference scenes where we could test the ability of our algorithm to locate objects in scenes where the objects are partially occluded. In particular we required a precise measurement of the occlusion rates in addition to non-trivial occlusions. To accomplish these goals we have constructed the Drexel Object Occlusion Repository. The repository contains objects deterministically placed in groupings with varying amounts of occlusion. The repository provides a reference set that researchers in computer vision and object recognition may use for qualitative analysis of algorithmic performance. The repository is organized into four series of images. Series one contains images with two objects, series two with three objects, series three with four objects and, lastly, series four with five objects. Each series contains 480 images and accompanying text files. The text files include various information about the image including, the name of the objects and percentage of occluded pixels in each of the objects.

Project Website

Primary Reference
T. Denton, J. Novatnack, A. Shokoufandeh. Drexel Object Occlusion Repository (DOOR) Technincal Report DU-CS-05-08, Drexel University, Computer Science Department, 2005.

Related References

S. A. Nene, S. K. Nayar and H. Murase. Columbia Object Image Library (COIL-20). Technical Report CUCS-005-96, February 1996.

J. Novatnack, T. Denton, A. Shokoufandeh, and L. Bretzner.