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Shadow Detection/Texture Segmentation Computer Vision Dataset

Shadow Detection/Texture Segmentation Computer Vision Dataset
Shadow Detection/Texture Segmentation Computer Vision Dataset
A simple computer vision dataset for shadow detection and texture analysis, specifically created to help test shadow detection algorithms (and texture segmentation algorithms) for mobile robots - that is, shadow detection with an active (moving) camera. The dataset is focused around texture analysis, so each image sequence contains shadows moving in front of a number of various textured surfaces. The dataset contains four main subfolders: "active", "artificial", "kondo", and "static". The "static" folder contains ground-truthed image sequences of textured surfaces with shadows moving over them, and the "active" folder contains ground-truthed image sequences of a camera travelling over textured surfaces. The "artificial" folder contains a computer-generated 3D scene with computer-generated ground truth, but note that texture is absent from all images within. Finally, the "kondo" folder contains a series of extremely challenging images captured from a webcam mounted to a Kondo bipedal robot. This final dataset is challenging because it contains a high level of noise, flicker and interference from electrical lighting, and the poor lighting conditions make for complex shadows with large penumbrae.
shadow, detection, segmentation, texture, computer, vision
Zenodo
Newey, Charles
1f80b40d-e1c8-4b53-ac3b-325c7213629c
Jones, Owain
08f57c24-c4d8-41ae-9c60-2e4c1f2cf926
Dee, Hannah
97543a54-134a-4715-8c48-1f4f4dd36484
Newey, Charles
1f80b40d-e1c8-4b53-ac3b-325c7213629c
Jones, Owain
08f57c24-c4d8-41ae-9c60-2e4c1f2cf926
Dee, Hannah
97543a54-134a-4715-8c48-1f4f4dd36484

Newey, Charles, Jones, Owain and Dee, Hannah (2016) Shadow Detection/Texture Segmentation Computer Vision Dataset. Zenodo doi:10.5281/zenodo.59019 [Dataset]

Record type: Dataset

Abstract

A simple computer vision dataset for shadow detection and texture analysis, specifically created to help test shadow detection algorithms (and texture segmentation algorithms) for mobile robots - that is, shadow detection with an active (moving) camera. The dataset is focused around texture analysis, so each image sequence contains shadows moving in front of a number of various textured surfaces. The dataset contains four main subfolders: "active", "artificial", "kondo", and "static". The "static" folder contains ground-truthed image sequences of textured surfaces with shadows moving over them, and the "active" folder contains ground-truthed image sequences of a camera travelling over textured surfaces. The "artificial" folder contains a computer-generated 3D scene with computer-generated ground truth, but note that texture is absent from all images within. Finally, the "kondo" folder contains a series of extremely challenging images captured from a webcam mounted to a Kondo bipedal robot. This final dataset is challenging because it contains a high level of noise, flicker and interference from electrical lighting, and the poor lighting conditions make for complex shadows with large penumbrae.

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More information

Published date: 2016
Keywords: shadow, detection, segmentation, texture, computer, vision

Identifiers

Local EPrints ID: 434464
URI: http://eprints.soton.ac.uk/id/eprint/434464
PURE UUID: 968207e4-753f-47df-be12-ae582720bb4c

Catalogue record

Date deposited: 24 Sep 2019 16:31
Last modified: 05 Jun 2024 16:45

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Contributors

Creator: Charles Newey
Creator: Owain Jones
Creator: Hannah Dee

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