Updated 01/2015 VITA Talbot 1 VITA Robert (Bud) M. Talbot III ...
Scene Blocking Utilizing Forces Christine Talbot.
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Transcript of Scene Blocking Utilizing Forces Christine Talbot.
Scene Blocking Utilizing ForcesChristine Talbot
Character Positioning
Discovery News – Avatar: Motion Capture Mirrors Emotions
http://news.discovery.com/videos/avatar-making-the-movie/
MindMakers Wiki
http://www.mindmakers.org/
projects/bml-1-0/wiki/Wiki
Spatial Movement (Previous Work)
Sentence
Subject NP
Actor/Noun
VPVP Action/
Verb
NP Target/Noun
Speech Movement
Grouping Spatial Rules
Conversational Spatial Rules
Theatre Rules
General Rules
MindMakers Wiki
http://www.mindmakers.org/
projects/bml-1-0/wiki/Wiki
SmartBody Path Planning
http://smartbody.ict.usc.edu
Adding a Human
Move correctly, on-time
Move correctly, wrong time
Move incorrectly, on-time
Move incorrectly, wrong time
Don’t move at all
Force-Directed Graphs (FDGs)
Equilibrium of Forces
Aesthetically Balanced
Easy to See Nodes
Crossings-Free (some)
Fixed Nodes
Varying Relationships Based on Data
Can be Arranged in Pre-defined Shapes (some)
Force-Directed Graph Structure
Node Representations: Characters Human Target/Marks/Pawns Audience Central Grouping Point
Linkages Characters – Humans/Characters Characters – Targets/Marks/Pawns Characters – Audience Characters – Central Grouping Point Central Grouping Point - Audience Humans – Central Grouping Point Humans - Audience
A
H
T
AA
Force-Directed Graph Functions
Adding Characters
Characters Leaving
Moving Characters
Human Moves
B
H
T
TA
What Does it Look Like?
Evaluation Criteria
Occlusion
Clustering
Results
Case #
Case Description
Avg Occlusion
Average Clustering X
Average Clustering Y
0Baseline All AI 3.60% 19.50% 14.60%
1Baseline Human 90% 3.60% 19.10% 15.40%
2Baseline Human 50% 2.90% 20.00% 14.70%
3Baseline Human 10% 4.40% 30.90% 28.70%
4Forces All AI 2.40% 16.80% 14.60%
5Forces Human 90% 2.40% 16.80% 14.60%
6Forces Human 50% 1.60% 20.40% 13.80%
7Forces Human 10% 2.40% 20.80% 14.00%
Horizontal Alignment = 28% clustering
Summary
Introduced Human-Controlled Character Issues
Proposed Force-Directed Graphs
Provided Algorithms
Implemented Approach
Evaluated Occlusion & Clustering
Provided Good Initial Results
Future Work
A
H
T
More consistent clustering