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Binocular disparity refers to the difference in image location of an object seen by the left and right eyes, resulting from the eyes’ horizontal separation (parallax). The brain uses binocular disparity to extract depth information from the two-dimensional retinal images in stereopsis. In computer vision, binocular disparity refers to the difference in coordinates of similar features within two stereo images.
An image processing method, apparatus and device
ActiveCN116843749BHigh precisionaccurate measurementImage enhancementImage analysisPattern recognitionParallax
The application provides an image processing method, device and equipment, the method comprising: obtaining a first original image and a second original image corresponding to a target object; obtaining a first disparity image by using a deep learning algorithm based on the first original image and the second original image; obtaining a second disparity image by using a target binocular algorithm based on the first original image and the second original image; fusing the first disparity image and the second disparity image to obtain a target disparity image; and generating a depth image corresponding to the target object based on the target disparity image. Through the technical scheme of the application, the disparity image of the deep learning algorithm and the disparity image of the target binocular algorithm are fused to obtain a high-precision noise-free target disparity image for distance measurement, and the advantages of the deep learning algorithm and the target binocular algorithm in binocular disparity estimation are fully utilized.
Owner:HANGZHOU HIKVISION DIGITAL TECHNOLOGY CO LTD