Image acquisition method, device and system
An image acquisition and image technology, which is applied in the field of image processing, can solve problems such as limited application range, small parallax, difficulty in meeting shooting requirements such as panoramic depth and three-dimensional applications, and achieve the effect of expanding the application range and improving the shooting effect
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Embodiment 1
[0026] First, refer to figure 1 An example electronic device 100 for implementing the image acquisition method, device and system of the embodiments of the present invention will be described.
[0027] Such as figure 1 Shown is a schematic structural diagram of an electronic device. The electronic device 100 includes one or more processors 102, one or more storage devices 104, an input device 106, an output device 108, and one or more cameras 110. These components are connected via a bus The systems 112 and / or other forms of connection mechanisms (not shown) are interconnected. It should be noted that figure 1 The components and structure of the electronic device 100 shown are only exemplary, not limiting, and the electronic device may also have other components and structures as required.
[0028] The processor 102 may be a gateway, or an intelligent terminal, or a device including a central processing unit (CPU) or other forms of processing units with data processing capa...
Embodiment 2
[0035] This embodiment provides an image acquisition method, which can be applied to the processor in the above-mentioned electronic device; the processor can be any chip or device capable of data processing, such as a host computer, a local server, a cloud server, and the like. The processor is connected with multiple cameras; for the smart terminal, the processor and the multiple cameras are integrated and arranged on the smart terminal; the multiple cameras are set at designated positions of the smart terminal according to certain arrangement rules.
[0036] Such as figure 2 As shown, the image acquisition method includes the following steps:
[0037] Step S202, acquiring a preview frame image of the target scene;
[0038] The target scene can be understood as an environmental scene within the field of view of the camera; the preview frame image can be a single frame of data, or continuous or discontinuous multi-frame data. In one of the methods, when the user turns on t...
Embodiment 3
[0053] In the above embodiments, the scene type of the target scene is identified from the preview frame image; therefore, in this embodiment, a training method of a scene recognition model for identifying the scene type of the target scene is firstly described. Specifically, the scene recognition model is trained in the following manner:
[0054] Step 11, obtaining a training sample set; the training sample set includes a set number of various scene images; the scene images carry label information of scene types;
[0055] The number of scene images in the training sample set can be preset, for example, 100,000; it can be understood that the greater the number of scene images, the better the performance and ability of the trained scene recognition model, and the higher the recognition accuracy. These scene images can be obtained from a common scene image library, or can be obtained by intercepting video frames from a video stream. The above annotation information can be manua...
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