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Before you read further, try out the on-line version of the "wheel" face navigation interface at http://www.ece.ubc.ca/~tzupei/facenav.htm. It's fun!
Conventional face navigation systems focus on finding new faces via facial features. This method, though intuitive, has limitations. Notably, it is geared towards distinctive features, hence, does not work effectively for finding typical faces. We investigate an alternative approach to search and navigate through an overall face configuration space. For this, we implemented an interface which shows gradients of faces arranged spatially using an n-dimensional norm-based face generation method. It is like a colour-wheel but with faces (as shown in the image below).
Because our interface allows users to observe faces holistically, the facial composition information is not lost during searching, as compared to a face component method. We compared our gradient based face navigation system with a typical static slider-based system in a navigation task as well as comparing with a hybrid dynamic slider system. (The two images below illustrate the appearance of our wheel interface and slider interface.)
Results from our first study show that our method is more effective in allowing users to concentrate on face navigation when compared with a static slider interface. This is helpful in a face matching task as it reduces the number of times users re-examine faces. Results from our second study further indicate that our interface is more effective in coping with correlated navigation axes when compared with a dynamic slider interface. Our third and fourth study confirmed that while slider-based interface is more suited for converging to close proximity to the target face, gradient-based interface caters for matching refinement. While it may be counter-intuitive that sliders, which work so well as an interface for colour navigation, are inadequate for face matching tasks, our results suggest that new interfaces, such as our gradient-based system and dynamic sliders, are necessary for navigation in higher dimensional face space.
Downloads
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| Movie |
This video (20,676 KB) provides a summary of our research and showcase our interfaces.
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| On-line Face Navigation Game |
This is an on-line version of the "wheel" face navigation interface. It's made to be game-like to provide a quick demonstration.
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| 3D Face Space Applet |
The zip file (23 MB) contains an executable and a folder that contains data of face models generated via FaceGen. The program displays an interpretation of a norm-based face space and users can drag the mouse while pressing down the left mouse button to move the face space. Notice that all the faces face the yellow ball which marks the position of the trackball controled by the mouse movement. The face space consists of 125 unique faces with the average face at the origin. The red, yellow and blue lines indicate x, y and z axes respectively. (This applet is made for Windows; 256 MB memory requird; graphics card recommended. ).
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| Testing Applet |
The zip file (35 MB) contains two folders. One folder includes a simple applet to demostrate how one can navigate faces. The other folder is for the running of the Tcl scripts. In order to run the applet, you need to install OpenGL, Tcl/Tk and the other folder, tcltools, must be copied into the lib directory of your Tcl/Tk installation. This applet only works on Windows.(256 MB memory requird; graphics card recommended.)
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Related Links
The Singular Inversions homepage
On-line face navigation Game
Contact Information
Tzu-Pei Grace Chen
Sidney Fels
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