Method and device for generating a stream from image(s) of an object is disclosed. The method includes the steps of obtaining data associated with points of a point cloud representing at least a part of the object, obtaining a parametric surface according to at least a geometric characteristic associated with the at least a part of the object and pose information of an acquisition device used to acquire the at least one image, obtaining a height map and one or more texture maps associated with the parametric surface, and generating the stream by combining together a first syntax element relative to the at least a parameter, a second syntax element relative to the height map, a third syntax element relative to the at least one texture map and a fourth syntax element relative to a position of the acquisition device. The disclosure relates further to a method and device for rendering an image of the object from the stream thus obtained.

The present disclosure relates to systems and devices configured to determine the distance to objects within a field of view. Namely, at least a portion of the field of view may be illuminated with a coherent light source. Due to interactions between the laser light, the transmission medium, and the object, characteristic laser speckle patterns may be formed. These characteristic laser speckle patterns may be imaged with a camera. Using statistical image analysis, an estimated distance to the objects within the field of view may be obtained. For example, the image frame may be partitioned into a plurality of image segments. An autocorrelation for each image segment of the plurality of image segments may be obtained. A depth map may be obtained based on the autocorrelations.

A method for a passive single-viewpoint 3D imaging system comprises capturing an image from a camera having one or more phase masks. The method further includes using a reconstruction algorithm, for estimation of a 3D or depth image.

3D printing slicing methods, apparatuses, devices, and storage mediums are disclosed. In an embodiment, a 3D printing slicing method includes the following steps: (1) acquiring a 3D model and a target texture picture; (2) obtaining a first model and obtaining a first picture; (3) establishing a mapping set between the first model and the first picture; (4) slicing a target layer of the first model by a slice plane to obtain at least one intersection point; (5) looking up at least one mapping point corresponding to the at least one intersection point in the first picture according to the mapping set, and obtaining corresponding outer contour points by revising coordinates of the at least one intersection point; and (6) obtaining an outer contour boundary line of the target layer by connecting the outer contour points successively.

3D printing slicing methods, apparatuses, devices, and storage mediums are disclosed. In an embodiment, a 3D printing slicing method includes the following steps: (1) acquiring a 3D model and a target texture picture; (2) obtaining a first model and obtaining a first picture; (3) establishing a mapping set between the first model and the first picture; (4) slicing a target layer of the first model by a slice plane to obtain at least one intersection point; (5) looking up at least one mapping point corresponding to the at least one intersection point in the first picture according to the mapping set, and obtaining corresponding outer contour points by revising coordinates of the at least one intersection point; and (6) obtaining an outer contour boundary line of the target layer by connecting the outer contour points successively.

Provided is an image processing device, including: a distance calculator that calculates distance information corresponding to at least one image among a plurality of input images; and an image generator that generates an output image with a shallow depth of field based on the distance information, in which the distance calculator calculates distance information from a plurality of contrast calculation regions sizes of which are different, and the image generator calculates a pixel value of an output image by smoothing a pixel value of the input image based on the distance information.

Provided is an image processing device, including: a distance calculator that calculates distance information corresponding to at least one image among a plurality of input images; and an image generator that generates an output image with a shallow depth of field based on the distance information, in which the distance calculator calculates distance information from a plurality of contrast calculation regions sizes of which are different, and the image generator calculates a pixel value of an output image by smoothing a pixel value of the input image based on the distance information.

Methods and systems are disclosed for analyzing one or more images of a textile to determine a presence or absence of defects. In one example, an image of at least a portion of a textile may be obtained and compared to a reference image of a reference textile. Based on the comparison, one or more areas indicative of a height variation between the textile and the reference textile may be determined. An action may be performed based on the one or more areas indicative of the height variation.

Methods and systems are disclosed for analyzing one or more images of a textile to determine a presence or absence of defects. In one example, an image of at least a portion of a textile may be obtained and compared to a reference image of a reference textile. Based on the comparison, one or more areas indicative of a height variation between the textile and the reference textile may be determined. An action may be performed based on the one or more areas indicative of the height variation.

The present disclosure discloses user equipment and an image processing method and apparatus, which relate to the field of information technologies and can improve accuracy in determining image depth information. The method includes: first obtaining an original image, then determining, according to the original image and at least two preset edge image blocks, a target blur value corresponding to a pixel in the original image, and finally, determining a depth value corresponding to the pixel in the original image according to the target blur value corresponding to the pixel in the original image. The present invention is applicable to determining of a blur value corresponding to a pixel in an image and determining of a depth value corresponding to the pixel in the image according to the blur value corresponding to the pixel in the image.