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Optimization method and device

An optimization method and image data technology, applied in the computing field, can solve the problems of hardware resource consumption and low utilization rate, and achieve the effect of saving hardware and development costs and increasing computing power

Pending Publication Date: 2020-10-13
深兰人工智能应用研究院(山东)有限公司
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Problems solved by technology

[0003] The traditional method is implemented on hardware, and hardware implementation is carried out without a clear and constructive method, which will cause serious hardware resource consumption and low utilization

Method used

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  • Optimization method and device

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Embodiment Construction

[0019] In order to understand the characteristics and technical content of the present invention in more detail, the implementation of the present invention will be described in detail below in conjunction with the accompanying drawings. The attached drawings are only for reference and description, and are not intended to limit the present invention.

[0020] figure 1 A schematic diagram of the implementation flow of an optimization method provided by the embodiment of the present invention, such as figure 1 As shown, the method includes:

[0021] Step S101, acquiring image data in real time;

[0022] Step S102, processing the image data using a shift register to obtain shifted data;

[0023] In step S103, the cost calculation and cost aggregation are fused in a window nesting manner, and the shifted data is calculated to obtain a cost transmission value.

[0024] In another embodiment, acquiring the image data in real time includes: receiving the image data from the extern...

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Abstract

The invention provides an optimization method and device. The method comprises the steps of obtaining image data in real time; processing the image data by using a displacement register to obtain displaced data; fusing the cost calculation and the cost aggregation by using a window nesting mode; calculating the data after the displacement; and obtaining cost transfer values. According to the invention, cost calculation and cost aggregation are fused; the implementation of the algorithm in hardware is facilitated, under the condition of large parallax, the storage resources can be reduced by one order of magnitude, the storage resources are no longer bottlenecks of system resources and performance performance, the storage resources are saved, the comprehensive utilization rate of the hardware can be effectively improved, the computing power is increased, and the hardware and development cost is saved.

Description

technical field [0001] The invention relates to a calculation technology, in particular to an optimization method and device. Background technique [0002] Binocular vision directly simulates the human visual system, and has a wide range of applications in robot tracking, video surveillance, industrial inspection, virtual reality, ranging, 3D reconstruction, etc. Stereo matching is the core algorithm of binocular vision, and its accuracy directly determines the Accuracy and reliability of measurements. Cost calculation is a key step in the stereo matching algorithm, which has high requirements for computing power and storage resources. With the continuous improvement of the real-time demand for stereo matching in edge-end computing, the use of hardware accelerators and accelerator-specific algorithm collaborative optimization is obtained. More and more attention. Only by solving the optimization matching of algorithm and computing power, through the optimization of the alg...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T1/60
CPCG06T1/60
Inventor 陈海波
Owner 深兰人工智能应用研究院(山东)有限公司
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