Disclosed is a system and method for obtaining optical properties of skin on a human face through face video analysis. Video of the face is captured, landmarks on the face and tracked, regions-of-interest are defined and tracked using the landmarks, some measurements/optical properties are obtained, the time-based video is transformed into an angular domain, and additional measurements/optical properties are obtained. Such optical properties can be measured using video in real-time or video that has been pre-recorded.

A method of generating light settings for a plurality of lighting units, the method comprising obtaining one or more images, extracting a plurality of colors from the one or more images, selecting a subset of colors from the plurality of colors, wherein the subset of colors is selected based on a target time of day, and generating one or more light settings for the plurality of lighting units based on the selected subset of colors, wherein, when the one or more light settings are activated, the plurality of lighting units are controlled according to the subset of colors.

A method of generating light settings for a plurality of lighting units, the method comprising obtaining one or more images, extracting a plurality of colors from the one or more images, selecting a subset of colors from the plurality of colors, wherein the subset of colors is selected based on a target time of day, and generating one or more light settings for the plurality of lighting units based on the selected subset of colors, wherein, when the one or more light settings are activated, the plurality of lighting units are controlled according to the subset of colors.

The present invention relates to a method for analysing a set of food particles, comprising the steps of acquiring a digital colour image of a plurality of particles arranged on a substrate, detecting portions of the image corresponding to each particle, determining the colour of each portion of the determined image, and measuring a distance between the determined colour of one portion of the image and a predetermined colour of a predetermined particle type.

The present invention relates to a method for analysing a set of food particles, comprising the steps of acquiring a digital colour image of a plurality of particles arranged on a substrate, detecting portions of the image corresponding to each particle, determining the colour of each portion of the determined image, and measuring a distance between the determined colour of one portion of the image and a predetermined colour of a predetermined particle type.

An image processing method is provided. For each frame of a video stream, a pixel digital frame mask in the respective frame of the video stream is obtained. The pixel digital frame mask of the respective frame includes a plurality of preset pixel position sets. At least two target preset pixel position sets are determined from the plurality of preset pixel position sets that form a frame sequence number of the respective frame based on values of pixels included in the at least two target preset pixel position sets. A frame sequence number corresponding to the respective frame of the video stream is determined according to positions of the at least two target preset pixel position sets in the pixel digital frame mask in the respective frame. Further, video fluency of the video stream is determined based on the frame sequence numbers.

An image processing method is provided. For each frame of a video stream, a pixel digital frame mask in the respective frame of the video stream is obtained. The pixel digital frame mask of the respective frame includes a plurality of preset pixel position sets. At least two target preset pixel position sets are determined from the plurality of preset pixel position sets that form a frame sequence number of the respective frame based on values of pixels included in the at least two target preset pixel position sets. A frame sequence number corresponding to the respective frame of the video stream is determined according to positions of the at least two target preset pixel position sets in the pixel digital frame mask in the respective frame. Further, video fluency of the video stream is determined based on the frame sequence numbers.

In some embodiments, a non-transitory processor-readable medium stores code representing instructions to be executed by a processor. The code includes code to cause the processor to receive a plurality of sets of images associated with a sample treated with fluorescence in situ hybridization (FISH) probes. Each image from that set of images is associated with a different focal length using a fluorescence microscope. Each FISH probe can selectively bind to a unique location on chromosomal DNA in the sample. The code further causes the processor to identify cell nuclei in the images. The code further causes the processor to apply a convolutional neural network (CNN) to each set of images. The CNN is configured to identify a probe indication from a plurality of probe indications for that set of images. The code further causes the processor to identify the sample as containing circulating tumor cells.

A method for generating a colored tridimensional map of an environment surrounding a device, including the steps of receiving a first stream including a plurality of N point cloud frames from a tridimensional sensor, receiving a second stream including a plurality of M images from a camera, generating a global tridimensional map by merging the plurality of N point cloud frames in a reference coordinate system, and determining the colored tridimensional map by assigning a calculated color to each tridimensional data point of global tridimensional map, the calculated color being determined from color values of pixels of the plurality of M images.

A method for generating a colored tridimensional map of an environment surrounding a device, including the steps of receiving a first stream including a plurality of N point cloud frames from a tridimensional sensor, receiving a second stream including a plurality of M images from a camera, generating a global tridimensional map by merging the plurality of N point cloud frames in a reference coordinate system, and determining the colored tridimensional map by assigning a calculated color to each tridimensional data point of global tridimensional map, the calculated color being determined from color values of pixels of the plurality of M images.