Methods and apparatus for specular surface mapping in which a camera detects reflections of a light source from a specular surface. The detected light sources may be projected onto a celestial sphere as virtual point sources. True positive observations should be tightly clustered on the celestial sphere; thus, false positives may be identified and removed. Specular surface information may then be determined from clusters of the virtual point sources on the celestial sphere. The clusters of virtual point sources on the celestial sphere may be identified and used to identify a surface as a specular surface. The clusters may also be used to extract other information regarding the specular surface, including but not limited to distance to and extent of the specular surface.

Methods and apparatus for specular surface mapping in which a camera detects reflections of a light source from a specular surface. The detected light sources may be projected onto a celestial sphere as virtual point sources. True positive observations should be tightly clustered on the celestial sphere; thus, false positives may be identified and removed. Specular surface information may then be determined from clusters of the virtual point sources on the celestial sphere. The clusters of virtual point sources on the celestial sphere may be identified and used to identify a surface as a specular surface. The clusters may also be used to extract other information regarding the specular surface, including but not limited to distance to and extent of the specular surface.

A method for correcting interference fringes includes: obtaining correction parameter sets of different photographing distances; obtaining a to-be-corrected image and calculating an average depth value of the to-be-corrected image; selecting a target correction parameter set corresponding to the average depth value from the correction parameter sets of different photographing distances; and correcting first pixel values of to-be-corrected pixels at the different coordinate positions in the to-be-corrected image according to different target correction parameters corresponding to the different coordinate positions in the target correction parameter set, to obtain a corrected image. Each of the correction parameter sets includes different correction parameters corresponding to different coordinate positions. The average depth value includes an average value of depth values corresponding to a plurality of to-be-corrected pixels in the to-be-corrected image.

A method is performed at a moveable scanner with one or more optical sensors. The method includes scanning, using the moveable scanner, an object having a surface. The scanning generates color data from a plurality of orientations of the moveable scanner with respect to the object. The method further includes generating, using at least the color data, a pixel map of the surface of the object, the pixel map including, for each respective pixel of a plurality of pixels: a color value of a corresponding point on the surface of the object; and a value for a non-color property of the corresponding point on the surface of the object.

A method is performed at a moveable scanner with one or more optical sensors. The method includes scanning, using the moveable scanner, an object having a surface. The scanning generates color data from a plurality of orientations of the moveable scanner with respect to the object. The method further includes generating, using at least the color data, a pixel map of the surface of the object, the pixel map including, for each respective pixel of a plurality of pixels: a color value of a corresponding point on the surface of the object; and a value for a non-color property of the corresponding point on the surface of the object.

An image processing system configured to receive an input time-of-flight depth map representing the distance of objects in an image from a camera at a plurality of locations of pixels in the respective image, and in dependence on that map to generate an improved time-of-flight depth map for the image, the input time-of-flight depth map having been generated from at least one correlation image representing the overlap between emitted and reflected light signals at the plurality of locations of pixels at a given phase shift, the system being configured to generate the improved time-of-flight depth map from the input time-of-flight depth map in dependence on a colour representation of the respective image and at least one correlation image.

An image processing system configured to receive an input time-of-flight depth map representing the distance of objects in an image from a camera at a plurality of locations of pixels in the respective image, and in dependence on that map to generate an improved time-of-flight depth map for the image, the input time-of-flight depth map having been generated from at least one correlation image representing the overlap between emitted and reflected light signals at the plurality of locations of pixels at a given phase shift, the system being configured to generate the improved time-of-flight depth map from the input time-of-flight depth map in dependence on a colour representation of the respective image and at least one correlation image.

Systems and methods of forming and analyzing a dissolvable article are provided herein. In an embodiment, a method of analyzing a dissolvable article includes providing a dissolvable article comprising a water-soluble block copolymer and a fragrance, capturing a plurality of images of a surface of the dissolvable article using a three dimensional imaging device, wherein the plurality of images have different spatial properties and wherein the plurality of images are of a substantially similar viewing area of the three-dimensional imaging device, and determining a measurement of pore density and surface roughness of the surface of the dissolvable article.

The present disclosure provides an image processing method, an image processing apparatus, a computer readable storage medium, and an electronic device. The method includes: in response to detecting that a camera component is turned on, controlling the camera component to collect a speckle image, the speckle image being an image formed by illuminating an object with laser speckles; detecting a target temperature of the camera component, and acquiring a corresponding reference image based on the target temperature, the reference image being an image with reference depth information and collected when calibrating the camera component; and calculating based on the speckle image and the reference image to acquire a depth image.

The present disclosure provides an image processing method, an image processing apparatus, a computer readable storage medium, and an electronic device. The method includes: in response to detecting that a camera component is turned on, controlling the camera component to collect a speckle image, the speckle image being an image formed by illuminating an object with laser speckles; detecting a target temperature of the camera component, and acquiring a corresponding reference image based on the target temperature, the reference image being an image with reference depth information and collected when calibrating the camera component; and calculating based on the speckle image and the reference image to acquire a depth image.