System and method of detecting multiview file format
AssigneeLeia Inc.
InventorsChelhwon Kim, Yiwen Hua, David A. Fattal
Life of this patent
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Abstract
Systems and methods are directed to multiview format detection. A multiview image that comprises a plurality of tiled view images is accessed. A cross-correlation map from the multiview image may be generated by autocorrelating the multiview image with a shifted copy of the multiview image. The cross-correlation map may be sampled at a plurality of predefined locations of the cross-correlation map to identify a set of cross-correlation values. A multiview format of the multiview image may be detected by classifying a feature set of the multiview image that comprises the set of cross-correlation values. The multiview image may be configured to be rendered on a multiview display based on the multiview format.
Claims20
A computer-implemented method of multiview format detection, the method comprising:
- accessing a multiview image comprising a plurality of tiled view images;
- generating a cross-correlation map from the multiview image by autocorrelating the multiview image with a shifted copy of the multiview image;
- sampling the cross-correlation map at a plurality of predefined locations of the cross-correlation map to identify a set of cross-correlation values;
- and
- detecting a multiview format of the multiview image by classifying a feature set of the multiview image that comprises the set of cross-correlation values,
- wherein the multiview image is configured to be rendered on a multiview display based on the multiview format.
A multiview display system comprising:
- a multiview display configured to display multiview images;
- a processor;
- and
- a memory that stores a plurality of instructions that, when executed, cause the processor to:
- access a multiview image comprising a plurality of tiled view images;
- generate a cross-correlation map from the multiview image by autocorrelating the multiview image with a shifted copy of the multiview image;
- sample the cross-correlation map at a plurality of predefined locations of the cross-correlation map to identify a set of cross-correlation values;
- input a feature set of the multiview image into a classifier, the feature set comprising the set of cross-correlation values;
- retrieve a label from the classifier, the label indicating a multiview format of the multiview image;
- and
- render the multiview image on a multiview display based on the multiview format.
A computer program comprising executable instructions that, when executed by a processor of a computer system, perform operations of multiview format detection, the operations comprising:
- accessing a multiview image comprising a plurality of tiled view images;
- generating a cross-correlation map from the multiview image by autocorrelating the multiview image with a shifted copy of the multiview image;
- sampling the cross-correlation map at a plurality of predefined locations of the cross-correlation map to identify a set of cross-correlation values;
- detecting a multiview format of the multiview image by classifying a feature set of the multiview image that comprises the set of cross-correlation values;
- and
- interlacing pixels of the tiled view images of the multiview image upon detecting the multiview format.
Dependencies are inferred from the claim text.