Sliding Windows Silver Bullet or Evolutionary Deadend A
Sliding Windows Silver Bullet or Evolutionary Deadend? A. Efros, B. Leibe, K. Mikolajczyk
Sliding A Microsoft conspiracy?
Perceptual and Sensory Augmented Computing Discussion Session: Sliding Windows What is a Sliding Window Approach? . . . • Definition of “Sliding Window Approach”? Ø Ø Ø Exhaustive search (A kind of) segmentation Localization as a classification problem Krystian Alyosha Bastian
Sliding Window • What is the sliding window technique?
Sliding Window • What is the sliding window technique? – A brute-force search over pose space with fixed model to find objects?
Sliding Window • What is the sliding window technique? – A brute-force search over pose space with fixed model to find objects? • Face detection [Schneiderman&Kanade’ 00], [Viola&Jones’ 01], [Mikolajczyk et al. ’ 04], [Dalal&Triggs’ 05] etc.
Sliding Window • What is the sliding window technique? – A brute-force search over pose space with fixed model to find objects? • Face detection [Schneiderman&Kanade’ 00], [Viola&Jones’ 01], [Mikolajczyk et al. ’ 04], [Dalal&Triggs’ 05] etc. • What isn’t the sliding window technique?
Sliding Window • What is the sliding window technique? – A brute-force search over pose space with fixed model to find objects? • Face detection [Schneiderman&Kanade’ 00], [Viola&Jones’ 01], [Mikolajczyk et al. ’ 04], [Dalal&Triggs’ 05] etc. • What isn’t the sliding window technique? – Intelligent search? (data driven)
Sliding Window • What is the sliding window technique? – A brute-force search over pose space with fixed model to find objects? • Face detection [Schneiderman&Kanade’ 00], [Viola&Jones’ 01], [Mikolajczyk et al. ’ 04], [Dalal&Triggs’ 05] etc. • What isn’t the sliding window technique? – Intelligent search? (data driven) • Object recognition & localization. Interest points and Hough transform based recognition? [Lowe’ 99], [Leibe’ 04], [Mikolajczyk et al’ 06]
Sliding Window
Sliding Windows Fixed object model object examples
Sliding Windows …… Fixed object model
Sliding Windows …… Fixed object model
Sliding Windows …… Fixed object model
Sliding Windows …… Fixed object model
Sliding Windows …… Fixed object model Decision (binary, real confidence value)
Sliding Windows …… Fixed object model Decision (binary, real confidence value)
Sliding Windows …… Fixed object model. . . Confidence map . . . .
Sliding Windows …… Features Fixed object model x . . . Confidence map . . . .
Sliding Windows …… Features Fixed object model x . . . Confidence map . . . .
Sliding Windows …… Features Fixed object model x . . . Confidence map . . . .
Sliding Windows …… Features Fixed object model x . . . Confidence map . . . .
Sliding Windows …… Features Fixed object model x . . . Confidence map . . . .
Sliding Windows …… Features Fixed object model x . . . Confidence map . . . .
Sliding Windows …… Features Fixed object model x . . . Confidence map . . . .
Sliding Windows …… Features Fixed object model x . . . Confidence map . . . .
Sliding Windows …… Features Fixed object model x . . . Confidence map . . . .
Sliding Windows …… Features x . . . Confidence map . . . .
Sliding Windows Features x . . . Confidence map . . . .
Sliding Windows Interest Points and Hough Transform Features x . . . Confidence map . . . .
Sliding Windows Features x . . . Confidence map . . . .
Sliding Windows and Bayesian rules, Interest Points and Hough Transform Everybody uses sliding window at some stage of the algorithm.
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