PhilippeBeaudoin < Main

   * Name: Philippe Beaudoin
   * Login Name: beaudoin
   * Email: beaudoin@cs.ubc.ca
   * Phone: (514) 268-7827
   * Department: Imager Lab
   * Comment: Visiting student of Michiel van de Panne in the [[https://bugs.cs.ubc.ca/cgi-bin/twiki/view/TWiki/Imager?topic=Imager.WebHome][Imager Lab]] for the summer (until september 1st 2006).

__About Me__

<div style="width: 103px; float: left;"><img src="http://www.iro.umontreal.ca/~beaudoin/plateaux/images/beaudoin.jpg" alt="Philippe Beaudoin" /></div>I'm a Ph.D. student in computer graphics at University of Montreal under the supervision of <a href="http://www.iro.umontreal.ca/~poulin/">Pierre 
Poulin</a>. My main research interest is compression of skeletal animations.

I'll be spending the summer (May to August 2006) in the [[https://bugs.cs.ubc.ca/cgi-bin/twiki/view/TWiki/Imager?topic=Imager.WebHome][Imager Lab]] as a visiting student of MichielVanDePanne. 


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__Animation People at UBC__
   * MichielVanDePanne
   * KangKangYin
   * KevinLoken
   * RoeyFlor
   * HerbertChow (undergrad)

__What I'd like to learn this summer__
   * Details and state of the art in dynamic character simulation
      * What is meant, exactly, by a _controller_?

__Summer Project Ideas__
   * Some very abstract ideas...
      * When compressing, study if similar motions have a similar optimal truncated wavelet coefficient distribution.
      * If so, then use this fact (together with PCA?) to reduce the search space for various kinematic motion synthesis.
   * Throwing and catching
      * Acquire mocap data for a character catching an object (a ball?)
      * Parameterize on:
         * Catching location
         * Object speed and mass
      * Kinematically synthesize a novel motion given arbitrary parameters
   * Efficient real-time exploration of a distant motion-capture database
      * Motions are transmitted across a slow channel (ie. the internet)
      * Simultaneously display a bunch of huge bunch of animations (on the same ground plane, with a wide perspective view)
      * Use wavelet-based progressive motion compression to obtain adaptive level-of-detail
         * Motion far from the viewer is less detailed
         * Automatic and nice degradation when transmission slows down
      * Use streaming transmission
      * Spatially regroup animations according to similarity
      * Automatixally extract a motion hierarchy based on similarity 
         * Display a sample motion for a a complete group of similar motion that can later be "opened up"
   * Compression related projects
      * Develop and study more involved _spatial_ compressions
         * PCA across the DOFs with pre- or post-wavelet compression (useful for large database compression)
         * Use automatic motion segmentation (Barbic et al. 2004) and pre-canned linear spaces adapted to the extracted clip
         * Dictionnary-based methods for large database (problem: building an efficient dictionnary of motion clips)
      * Study the importance of various errors in human perception of skeletal animations
      * Apply compression to complex animation data structures
         * Motion Graphs
         * Specialized database for synthesis of a specific kind of motion
      * Constaint enforcement during compression
         * Constrain extremal poses and derivatives (for inclusion in a "snap-together" style of motion graph, or for cycling motions)
         * 2-person interaction (dancing...) where animations constrain each other.
      * Efficient motion blending using a wavelet basis
      * Develop and study prediction-correction schemes (similar to MPEG motion compensation)
      * Build and use statistical motion models to increase compression efficiency
         * The model could be for a complete skeleton or part of a skeleton
         * The model could be specific (extracted from a small bank of similar motions) or generic (extracted from a large motion database)
         * The model could be for really short motion segments or for complete clips
         * Better yet, it could be multi-resolution: long clips for wide basis functions and short clips for narrow basis functions.

__Personal Interests (beside CG)__
   * Grads.VancouverRestaurants
   * [[http://www.iro.umontreal.ca/~beaudoin/plateaux][My blog about boardgames]] (in french)

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   * %TWIKIWEB%.WelcomeGuest to learn TWiki
   * Sandbox.WebHome web to try out TWiki
   * Sandbox.%TOPIC%Sandbox just for me

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This topic: Main > TWikiUsers > PhilippeBeaudoin
Topic revision: r4 - 2006-05-17 - TWikiGuest