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          Institute: MPI für biologische Kybernetik     Collection: Biologische Kybernetik     Display Documents



ID: 269999.0, MPI für biologische Kybernetik / Biologische Kybernetik
Face Detection - Efficient and Rank Deficient
Authors:Kienzle, W.; Bakir, G.; Franz, M.; Schölkopf, B.
Editors:Weiss, Y.; Y., Weiss
Date of Publication (YYYY-MM-DD):2005
Title of Proceedings:Advances in Neural Information Processing Systems
Start Page:673
End Page:680
Physical Description:8
Audience:Not Specified
Intended Educational Use:No
Abstract / Description:This paper proposes a method for computing fast approximations to
support vector decision functions in the field of object
detection. In the present approach we are building on an existing
algorithm where the set of support vectors is replaced by a
smaller, so-called reduced set of synthesized input space points.
In contrast to the existing method that finds the reduced set via
unconstrained optimization, we impose a structural constraint on
the synthetic points such that the resulting approximations can be
evaluated via separable filters. For applications that require
scanning an entire image, this decreases the computational
complexity of a scan by a significant amount. We present
experimental results on a standard face detection database.
External Publication Status:published
Document Type:Conference-Paper
Communicated by:Holger Fischer
Affiliations:MPI für biologische Kybernetik/Empirical Inference (Dept. Schölkopf)
Identifiers:LOCALID:2776
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