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Fcv appli science_perona
1. Applications to Science
Pietro Perona
California Institute of Technology
NSF Workshop - Frontiers in Vision
Cambridge, 23 Aug 2011
Friday, August 26, 2011
2. Goals
• A few examples
• Implications for machine vision
• Lessons learned
• NSF’s role
Friday, August 26, 2011
3. Plan
• Intro (5’)
• Sketch of a few success stories (50’)
• Discussion (10’)
Friday, August 26, 2011
16. Action Perception
PSYCHOLOGY
interaction, cooperation,
PLANNING
group-level goals and plans
competition
SOCIAL NETWORK THEORY OF SOCIOLOGY
INDIVIDUAL
plans, goals, behavior,
individual goals and plans
relationships ...
PREFRONTAL CORTEX THEORY OF PSYCHOLOGY
pose, movemes, actions,
MOTOR
motor programs
activities, objects, scenes
SENSORY
MOTOR CORTEX RECOGNITION
sensor-based control images, trajectories
SPINAL CORD IMAGING,TRACKING
World
Friday, August 26, 2011
17. Lessons learned
• Image deluge in science
• Doing better than the scientists
• Payoffs in science, not in MV (short term)
‣ Must work as scientist
‣ Students must be interested in science too
‣ Publish in unfamiliar venues
‣ CV publications are suspicious
• Benefit to MV: new challenges and datasets
• Benefit to PI: fun, learning
Friday, August 26, 2011
18. Basic research needed
• Tracking, detection and identification
• Parts and pose
• Hierarchical models (for time series)
• Unsupervised discovery of categories
• Weakly supervised learning
Friday, August 26, 2011
