Method and device for detecting lens in real time in fully automatic two-dimensional (2D) to three-dimensional (3D) technology

A lens detection, fully automatic technology, applied in the direction of television, electrical components, stereo systems, etc., can solve the problems of modes that do not conform to online processing, complex principles, multi-time, etc., to enhance robustness and adaptability, principle and Simple process and high real-time effect
CN101917643AActive Publication Date: 2010-12-15TSINGHUA UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
TSINGHUA UNIV
Publication Date
2010-12-15

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Abstract

The invention discloses a method for detecting a lens in real time in fully automatic two-dimensional (2D) to three-dimensional (3D) technology. The method comprises the following steps of: reading a current frame; partitioning the current frame into a plurality of sub-blocks; counting inter-frame difference values and accumulated frame difference values of the plurality of sub-blocks relative to a previous frame; dynamically adjusting corresponding low threshold values and high threshold values of the plurality of sub-blocks according to the inter-frame difference values of the plurality of sub-blocks; and obtaining a lens detection result of the current frame according to the inter-frame difference values and the accumulated frame difference values of the plurality of sub-blocks and the corresponding low threshold values and high threshold values. The method has the advantages of giving the lens detection result of the current frame on line in real time, achieving a high recall ratio on the basis of ensuring a precision ratio and basically meeting the requirement of subsequent processing.
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Description

technical field

[0001] The invention relates to the field of computer multimedia technology, in particular to a real-time lens detection method and device in fully automatic 2D to 3D technology. Background technique

[0002] A shot in a video refers to a sequence of frames that are continuously shot by the same camera and represent a continuous action in time and space. From the perspective of context semantic content, shot is the basic unit of video sequence content. For a real-time fully automatic 2D to 3D system, a common process is to divide it into three steps: lens detection, depth calculation and DIBR rendering. Among them, shot detection requires the ability to simultaneously detect the boundaries of shot changes and shot gradients in the video; depth calculation is based on shot detection, and for adjacent image frames in the same shot, it is processed by block matching algorithm and bilateral filtering. , to obtain an approximate depth map; while DIBR rendering r...

Claims

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