Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/1148Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Howse, Joseph | - |
| dc.date.accessioned | 2026-07-17T09:54:06Z | - |
| dc.date.available | 2026-07-17T09:54:06Z | - |
| dc.date.issued | 2013-09 | - |
| dc.identifier.isbn | 978-1-84969-520-6 | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/1148 | - |
| dc.description.abstract | This book will show you how to use OpenCV's Java bindings in an Android app that displays a camera feed, saves and shares photos, manipulates colors and edges, and tracks real-world objects in 2D or 3D. Integration with OpenGL is also introduced so that you can start building augmented reality (AR) apps that superimpose virtual 3D scenes on tracked objects in the camera feed. OpenCV is an open-source, cross-platform library that provides building blocks for computer vision experiments and applications. It offers high-level interfaces for capturing, processing, and presenting image data. For example, it abstracts away details about camera hardware and array allocation. OpenCV is widely used in both academia and industry. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Packt Publishing Ltd. | en_US |
| dc.subject | Android apps to capture, manipulate, and track objects in 2D and 3D, Android Application Programming with OpenCV | en_US |
| dc.title | Android Application Programming with OpenCV | en_US |
| dc.title.alternative | Build Android apps to capture, manipulate, and track objects in 2D and 3D | en_US |
| dc.type | Book | en_US |
| Appears in Collections: | E-Books | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Android Application Programming with OpenCV.pdf | 3.53 MB | Adobe PDF | View/Open |
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