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Kobyshev et al., 2014 - Google Patents

Matching features correctly through semantic understanding

Kobyshev et al., 2014

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Document ID
1867192339971857957
Author
Kobyshev N
Riemenschneider H
Van Gool L
Publication year
Publication venue
2014 2nd International Conference on 3D Vision

External Links

Snippet

Image-to-image feature matching is the single most restrictive time bottleneck in any matching pipeline. We propose two methods for improving the speed and quality by employing semantic scene segmentation. First, we introduce a way of capturing semantic …
Continue reading at varcity.ethz.ch (PDF) (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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    • G06K9/62—Methods or arrangements for recognition using electronic means
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    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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    • G06K9/4671—Extracting features based on salient regional features, e.g. Scale Invariant Feature Transform [SIFT] keypoints
    • G06K9/4676—Extracting features based on a plurality of salient regional features, e.g. "bag of words"
    • G—PHYSICS
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    • G06K9/6228—Selecting the most significant subset of features
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    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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