First-person view animation editing utilizing video see-through augmented reality
Date Issued
2015
Date
2015
Author(s)
Wu, Liang-Chen
Abstract
In making 3D animation with traditional method, we usually edit 3D objects in 3-dimension space on the screen; therefore, we have to use a mouse along with a keyboard to edit the model motion and to observe 3D models. However, this process can be improved. With the improvement in gesture recognition nowadays, virtual information operations are no longer confined to the mouse and keyboard. We can use the recognized gestures to apply to difficult operations in editing model motion. All the users have to do is simply using their hands to adjust the model in front of them. Another problem is the observation of 3D model. For this problem, we would use first-person view augmented reality, alone with head tracking to improve it. For head tracking, with the external camera, it would be easy to observe the interactive results in different angles and positions without complicated operation because the system will accurately map all of the real world head movements. In our system, with first-person view, users can easily view a model’s gesture under different angles, avoiding the blind spot caused by physical occlusion. Next, for video see-through, we use dual camera as eyes to catch vision images as background so as to create more flexible spaces for adding virtual information and proceeding image processing. Lastly, for the need of a camera to capture external information to help achieving many-to-one model editing, we chose the augmented reality method. With augmented reality, we can implement some props in reality as the movement editing reference to achieve a better placement. We provide a video see-through AR figure animation editing system, which integrates a VR HMD, a dual camera module and a hand tracking device to make animation editing more realistic and interesting.
Subjects
augmented reality
video see-through
animation editing
figure model
chroma keying
head mounted display
hand tracking
Type
thesis
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