A movie captured by a wearable camera affixed to an actor’s body gives audiences the sense of “immerse in the movie”. The raw movie captured by wearable camera needs stabilization with jitters due to ego-motion. However, conventional approaches often fail in accurate ego-motion estimation when there are moving objects in the image and no sufficient feature pairs provided by background region. To address this problem, we proposed a new approach that utilizes an additional synchronized video captured by the camera attached on the foreground object (another actor). Formally we configure above sensor system as two face-to-face moving cameras. Then we derived the relations between four views including two consecutive views from each camera. The proposed solution has two steps. Firstly we calibrate the extrinsic relationship of two cameras with an AX=XB formulation, and secondly estimate the motion using calibration matrix. Experiments verify that this approach can recover from failures of conventional approach and provide acceptable stabilization results for real data.
Synchronized Ego-Motion Recovery of Two Face-to-Face Cameras
Asian Conference on Computer Vision ; 2007 ; Tokyo, Japan November 18, 2007 - November 22, 2007
2007-01-01
11 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Wearable camera , synchronized ego-motion estimation , stabilization , two face-to-face cameras , extrinsic calibration Computer Science , Image Processing and Computer Vision , Computer Imaging, Vision, Pattern Recognition and Graphics , Pattern Recognition , Artificial Intelligence , Biometrics , Algorithm Analysis and Problem Complexity
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