Abstract: A method and device for use in hand gesture recognition is applicable to image processing. The method includes: acquiring a depth map of a hand in a current image; estimating first positions of joints of the hand according to the depth map of the hand; creating a 3D point cloud of the hand according to the depth map of the hand; matching the first position of the joints of the hand and a stored 3D hand model to the 3D point cloud of the hand to obtain second positions of the joints and first degree of freedom parameters of the joints; and recognizing the hand's gestures according to the second positions of the joints and the first degree of freedom parameters of the joints. The method achieves a practical hand gesture recognition technique and recognizes hand gestures accurately.

Abstract: The disclosure provides a method and device for three-dimensional reconstruction, applied to the field of image processing. The method includes: obtaining a first depth map, which is photographed by a first photographic device, and obtaining a second depth map, which is photographed by a second photographic device; merging the first depth map with a first three-dimensional model according to a position of the first photographic device to obtain a second three-dimensional model; and merging the second depth map with the second three-dimensional model according to a position of the second photographic device to obtain a third three-dimensional model.

Abstract: An apparatus for image processing includes a processor and a depth camera. The processor obtains a first two-dimensional image and focusing information of the first two-dimensional image, and obtains depth information of a part or all of a content captured in the first two-dimensional image via the depth camera. The processor determines a background area of the first two-dimensional image according to the focusing information. The processor also performs bokeh on the background area of the first two-dimensional image according to the depth information.

Abstract: The present invention provides a method and a device for verification applied to the field of image processing. The method includes: acquiring a common two-dimensional image, an infrared image and a depth map of a calibration object, wherein the calibration object carries a first pattern; calculating coordinates of an image formed on the infrared image by the first pattern, acquiring a depth value of the first pattern according to the depth map, and calculating a position of a projection formed on the common two-dimensional image by a three-dimensional point cloud corresponding to the image formed on the infrared image by the first pattern, and calculating a distance between an image and the projection formed on the common two-dimensional image by the first pattern. The method and device for verification provided by the present invention can verify a calibration parameter obtained after calibration performed by a depth camera device, enhancing calibration accuracy.

Abstract: The present invention provides a method and a device for three-dimensional modeling, used in the field of image processing. The method includes: receiving a first two-dimensional image and a depth map corresponding to the first two-dimensional image; the first two-dimensional image and the depth map respectively include a face; fitting three-dimensional face model by a first three-dimensional face database according to a position of a face feature point in the first two-dimensional image and the depth map corresponding to the first two-dimensional image. The method and the device for three-dimensional modeling provided by the present invention can improve the efficiency of the facial three-dimensional modeling and the precision of modeling.

Abstract: The present invention provides a method and device for three-dimensional reconstruction, applied to the field of image processing. The method comprises: obtaining a first depth map, which is photographed by a first photographic device, and obtaining a second depth map, which is photographed by a second photographic device; merging the first depth map with a first three-dimensional model according to a position of the first photographic device to obtain a second three-dimensional model; and merging the second depth map with the second three-dimensional model according to a position of the second photographic device to obtain a third three-dimensional model. By adoption of the method, during the reconstruction of three-dimensional images, the reconstruction effect of the three-dimensional images of the top and the bottom of the target object can be improved, and the precision of the reconstructed three-dimensional images is improved.

Abstract: The present invention provides a method and an apparatus for image processing, applied in image processing field, where the method comprises: obtaining a first two-dimensional image and focusing information of the first two-dimensional image, obtaining depth information of a part or all of a content in the first two-dimensional image, determining a background area of the first two-dimensional image according to the focusing information, performing bokeh on the background area of the first two-dimensional image according to the depth information. The above method can reduce requirements for hardware, operate easily, and perform bokeh on the background quickly when performing bokeh on the background.

Abstract: A method and an apparatus for focusing are provided. The method includes: determining a switch from a first imaging mode to a second imaging mode, wherein the first imaging mode and the second imaging mode have different exposures; making illumination adjustment to a first feature template of a target object in the first imaging mode according to first illumination information of the target object in the first imaging mode and second illumination information of the target object in the second imaging mode to obtain a second feature template; and searching for the target object according to the second feature template in the second imaging mode.

Abstract: A method and an apparatus for focusing are provided. The method includes: determining that imaging mode switches from a third imaging mode to a fourth imaging mode, wherein the third imaging mode comprises a mode in which a non-depth camera is used to take a picture, and the fourth imaging mode comprises a mode in which a depth camera is used to take a picture; creating a third feature template, wherein the third feature template is used to record depth information of a target object; and searching for an image of the target object according to the third feature template in the fourth imaging mode.

Abstract: The present invention discloses a fast scan-type panoramic image synthesis method and device. The device includes: simultaneously acquiring two original images of the same angle of view, wherein one is an exposure-locked image and the other is a non-exposure-locked image; performing HDR processing on the two simultaneously acquired original images by using the exposure-locked image as a reference image to obtain an HDR processed outcome image; performing exposure compensation on the HDR processed outcome image of the current frame based on the temporary panoramic outcome image of the previous frame; and performing image fusion and synthesis according to the temporary panoramic outcome image of the previous frame and the exposure compensated HDR processed outcome image of the current frame to generate a new temporary panoramic outcome image of the current frame.

Abstract: The present invention provides a method and device for calibration, applied to the field of image processing. The method comprises: obtaining a first two-dimensional image of a calibration object with a marking point and a first depth map of the calibration object, obtaining calibrated three-dimensional model data of the calibration object, determining a first three-dimensional marking point in the first depth map corresponding to the marking point based on the marking point in the first two-dimensional image, determining a second three-dimensional marking point in the three-dimensional model data of the calibration object corresponding to the marking point based on the marking point in the first two-dimensional image, and determining a first matrix. By adoption of the method mentioned above, when the device for photographing the three-dimensional image is calibrated, it is simple and feasible, and the operation difficulty is small.

Abstract: A method and an apparatus for focusing are disclosed. The apparatus includes: a determining module, configured to determine that an imaging mode switches from a first imaging mode to a second imaging mode; an image position estimating module, configured to estimate a position of an image of a target object on a picture taking device in the second imaging mode according to a position of an image of the target object on a picture taking device in the first imaging mode and a principle of epipolar geometry; and a searching module, configured to search for the image of the target object in the second imaging mode according to the estimated position of the image of the target object on the picture taking device in the second imaging mode.

Abstract: The present invention provides a method and an apparatus for focusing, applied in image processing field, which includes determining that imaging mode switches from a first imaging mode to a second imaging mode, making luminance adjustment to a first feature template of target object in the first imaging mode to obtain a second feature template, searching for an image of the target object according to the second feature template in the second imaging mode. The method enables a terminal in an automatic focusing process to realize a function of constant automatic focusing, and to make user interaction decreases and focus on the target object in time, accurately and efficiently to output constant satisfactory images or videos.

Abstract: A method and an apparatus for focusing are disclosed. The method includes: determining a switch of imaging mode from a first imaging mode to a second imaging mode, wherein a position of an image of a target object in the first imaging mode is different from a position of an image of the target object in the second imaging mode; estimating the position of the image of the target object in the second imaging mode according to a resolution in the first imaging mode, a resolution in the second imaging mode, a field of view in the first imaging mode, a field of view in the second imaging mode and the position of the image of the target object in the first imaging mode; and searching for the image of the target object in the second imaging mode according to the estimated position.

Abstract: A method and an apparatus for pattern recognition is provided in the present invention, applied to the field of artificial intelligence. The method includes: acquiring a two-dimensional image of a target object and a two-dimensional feature of the target object according to the two-dimensional image of the target object; and acquiring a three-dimensional image of the target object and a three-dimensional feature of the target object according to the three-dimensional image of the target object; identifying the target object according to the two-dimensional feature and the three-dimensional feature of the target object. The method can reduce restrictions on acquiring the image of the target object, for example, reduce the restrictions on the image of the target object in terms of postures, lighting, expressions, make-up and occlusion, thereby improving an accuracy of recognizing the target object and improving a recognition rate and reducing recognition time at the same time.

Abstract: The present invention provides a method and an apparatus for focusing, applied in image processing field, enabling a terminal in an automatic focusing process not to suspend automatic focus function. The method includes: determining an imaging mode switched from a first picture taking device in a first imaging mode to the first picture taking device or a second picture taking device in a second imaging mode, estimating a second position of the target object in the second imaging mode according to a first position of a target object in the first imaging mode and a principle of epipolar geometry, and searching for the target object in the second imaging mode according to the estimated second position of the target object in the second imaging mode.