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.
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