Abstract:
The present disclosure discloses a depth image denoising method. In one embodiment, the depth image denoising method includes the following steps: decomposing an original depth image of a shot object into n layers of depth image, where n is an integer that is greater than or equal to two; denoising on each of the n layers of depth image, to eliminate isolated noise(s) in each of the n layers of depth image; and, merging the denoised n layers of depth image, to obtain a final denoised depth image. Correspondingly, the present disclosure also discloses a depth image denoising apparatus.
Abstract:
An image acquisition device and an image processing method and system are provided. The image acquisition device includes a first dual-camera device and a second dual-camera device. The first dual-camera device includes a first camera and a third camera. The second dual-camera device includes the first camera and a second camera. The image acquisition device can acquire depth information of richer information content from more viewing angles and reduce the number of points that cannot be matched.
Abstract:
A character recognition method includes: performing feature extraction on an image to be recognized to obtain a first feature map; processing the first feature map to at least obtain N first candidate carrier detection boxes, each first candidate carrier detection box being configured to outline a region of a character carrier; screening the N first candidate carrier detection boxes to obtain K first target carrier detection boxes; performing a feature extraction on the first feature map to obtain a second feature map; processing the second feature map to obtain L first candidate character detection boxes, each first candidate character detection box being configured to outline a region containing at least one character; screening the L first candidate character detection boxes to obtain J first target character detection boxes; and recognizing characters in the J first target character detection boxes to obtain J target character informations.
Abstract:
A sample extraction method targeting a video classification problem includes acquiring video data, parsing the video data to obtain a plurality of consecutive single-frame images corresponding to the video data, and extracting feature images from the plurality of consecutive single-frame images to compose samples, where the feature images are used to summarize content information of the video data, and the samples do not contain redundant image data.
Abstract:
A hand detection method, a hand segmentation method, an image detection method and system, a storage medium, and a device are provided. The image detection method includes: determining a first starting point in a connected domain of an image to be detected; determining n farthest extremum points different from the first starting point, wherein an Nth farthest extremum point is a pixel point in the connected domain having a maximum geodesic distance to an Nth starting point, an (N+1)th starting point is the Nth farthest extremum point, and n and N are both positive integers; performing region growing with the n farthest extremum points as initial points respectively, to acquire n regions in the connected domain; judging whether a relationship between a preset feature of each region and a preset feature of the connected domain satisfies a selection condition, to determine an available region satisfying the selection condition.
Abstract:
An image segmentation method, an image segmentation system, a storage medium and an apparatus including the image segmentation system or the storage medium are provided. The image segmentation method includes: obtaining a connected region where a target object is located from a depth image; determining a principal direction or a secondary direction of the connected region by a principal component analysis method; and acquiring an image of the target object from the connected region according to relationship between morphology of the target object and the principal direction or the secondary direction.
Abstract:
The present disclosure provides a depth map generation apparatus, including a camera assembly with at least three cameras, an operation mode determination module and a depth map generation module. The camera assembly with at least three cameras may a first camera, a second camera and a third camera that are sequentially aligned on a same axis. The operation mode determination module may be configured to determine an operation mode of the camera assembly. The operation mode includes at least: a first mode using images of non-adjacent cameras, and a second mode using images of adjacent cameras. Further, the depth map generation module may be configured to generate depth maps according to the determined operation mode.
Abstract:
Embodiments of the present invention disclose method and apparatus for processing a depth image. The method comprises: obtaining the depth image and a captured image corresponding to the depth image; segmenting the depth image to obtain a plurality of segmentation units; calculating a corresponding depth reference value for each segmentation unit; determining a standard range of depth value for the each segmentation unit based on the corresponding depth reference value; and adjusting a depth value of each pixel of the depth image to the standard range of depth value corresponding to the segmentation unit in which the each pixel is located. The method and the apparatus of embodiments of the present invention can improve the quality of the depth image and cause the depth image to be easily identified.
Abstract:
The present invention relates to a hand-written recording device and a hand-written recording method, the hand-written recording device comprising a sensing module for sensing real time location information of the hand-written recording device itself and a processing module for generating a moving track of the hand-written recording device based on the real time location information and generating storable information based on the moving track. Such a hand-written recording device does not have to rely on a bearing surface, which is convenient for the user to record information anytime and anywhere, increases flexibility for the user to record information significantly, and improves the user experience greatly.
Abstract:
An image acquisition device and an image processing method and system are provided. The image acquisition device includes a first dual-camera device and a second dual-camera device. The first dual-camera device includes a first camera and a third camera. The second dual-camera device includes the first camera and a second camera. The image acquisition device can acquire depth information of richer information content from more viewing angles and reduce the number of points that cannot be matched.