Difference between revisions of "Android Head Tracking"
From Immersive Visualization Lab Wiki
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| − | + | ==Project Overview== | |
This project's main goal is to be able to create an application on the Android mobile platform that will use face detection to track the head movements of the user. The face detection is used with OpenCV and Androids Face Detection API, and with these algorithms, we are able to locate the face with the device's front facing camera. After face detection has been implemented, we would need to be able to track the faces X,Y and Z coordinates (relative to the camera). With this data, we would be able to create a 3D model view where the user would be able to look around the object by simply moving their head. | This project's main goal is to be able to create an application on the Android mobile platform that will use face detection to track the head movements of the user. The face detection is used with OpenCV and Androids Face Detection API, and with these algorithms, we are able to locate the face with the device's front facing camera. After face detection has been implemented, we would need to be able to track the faces X,Y and Z coordinates (relative to the camera). With this data, we would be able to create a 3D model view where the user would be able to look around the object by simply moving their head. | ||
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* OpenCV Samples | * OpenCV Samples | ||
** Sample Face Detection Code is not the most accurate face detection, it works with monitor image of a face, but isn't as accurate on a real human face. | ** Sample Face Detection Code is not the most accurate face detection, it works with monitor image of a face, but isn't as accurate on a real human face. | ||
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| + | == Additional Information == | ||
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| + | === OpenCV == | ||
| + | This the the result of the OpenCV result when testing with an image | ||
Revision as of 22:44, 7 May 2013
Contents |
Project Overview
This project's main goal is to be able to create an application on the Android mobile platform that will use face detection to track the head movements of the user. The face detection is used with OpenCV and Androids Face Detection API, and with these algorithms, we are able to locate the face with the device's front facing camera. After face detection has been implemented, we would need to be able to track the faces X,Y and Z coordinates (relative to the camera). With this data, we would be able to create a 3D model view where the user would be able to look around the object by simply moving their head.
Significant Updates
- May 7 - Got working FaceDetection sample running on android (not the most accurate)
- April 30 - Found Error with Hardware on API on Development device.
- April 23 - Gained Control of the Camera
TO DO
- Using openCV for face detection
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Testing face detection samples on development device. - Find and Test other OpenCV Android Face Detection Algorithms.
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- Work on building an API around the app
Known Bugs/Issues
- Android Face Detection API
- Only works for Ice Cream Sandwich [API 14.0 4.0] and up
- Not all Devices Support the FaceDetection API
- OpenCV Samples
- Sample Face Detection Code is not the most accurate face detection, it works with monitor image of a face, but isn't as accurate on a real human face.
Additional Information
= OpenCV
This the the result of the OpenCV result when testing with an image
