A device for determining the surface topology and associated color of a structure, such as a teeth segment, includes a scanner for providing depth data for points along a two-dimensional array substantially orthogonal to the depth direction, and an image acquisition means for providing color data for each of the points of the array, while the spatial disposition of the device with respect to the structure is maintained substantially unchanged. A processor combines the color data and depth data for each point in the array, thereby providing a three-dimensional color virtual model of the surface of the structure. A corresponding method for determining the surface topology and associate color of a structure is also provided.

A method for matching a three-dimensional first image of at least one discrete entity with a three-dimensional second image of the at least one discrete entity is provided. The at least one discrete entity includes a biological sample and a plurality of constituent parts of a marker. The method includes: generating a first representation of the marker from the first image; generating a second representation of the marker from the second image; and based upon the representations matching, matching the first image with the second image; or based upon the representations not matching, rejecting the match. Generating the representations includes determining vectors from at least one reference item to at least some of the constituent parts of the marker, determining for the vectors at least one value of a property, and generating the representations of the marker based on a frequency of the at least one value of the property.

A method for matching a three-dimensional first image of at least one discrete entity with a three-dimensional second image of the at least one discrete entity is provided. The at least one discrete entity includes a biological sample and a plurality of constituent parts of a marker. The method includes: generating a first representation of the marker from the first image; generating a second representation of the marker from the second image; and based upon the representations matching, matching the first image with the second image; or based upon the representations not matching, rejecting the match. Generating the representations includes determining vectors from at least one reference item to at least some of the constituent parts of the marker, determining for the vectors at least one value of a property, and generating the representations of the marker based on a frequency of the at least one value of the property.

The present disclosure relates to image processing systems and methods. The method may include obtaining a first image and a second image. The first image may be captured by a first camera lens of a panorama device and the second image may be captured by a second camera lens of the panorama device. The method may also include performing an interpolation based on a center of the first image to obtain a first rectangular image, and performing an interpolation based on a center of the second image to obtain a second rectangular image. The method may further include generating a fused image based on the first rectangular image and the second rectangular image, and mapping the fused image to a spherical panorama image.

The present disclosure relates to image processing systems and methods. The method may include obtaining a first image and a second image. The first image may be captured by a first camera lens of a panorama device and the second image may be captured by a second camera lens of the panorama device. The method may also include performing an interpolation based on a center of the first image to obtain a first rectangular image, and performing an interpolation based on a center of the second image to obtain a second rectangular image. The method may further include generating a fused image based on the first rectangular image and the second rectangular image, and mapping the fused image to a spherical panorama image.

A system and a method are disclosed for a structured-light system to estimate depth in an image. An image is received in which the image is of a scene onto which a reference light pattern has been projected. The projection of the reference light pattern includes a predetermined number of particular sub-patterns. A patch of the received image and a sub-pattern of the reference light pattern are matched based on either a hardcode template matching technique or a probability that the patch corresponds to the sub-pattern. If a lookup table is used, the table may be a probability matrix, may contain precomputed correlations scores or may contain precomputed class IDs. An estimate of depth of the patch is determined based on a disparity between the patch and the sub-pattern.

A system and a method are disclosed for a structured-light system to estimate depth in an image. An image is received in which the image is of a scene onto which a reference light pattern has been projected. The projection of the reference light pattern includes a predetermined number of particular sub-patterns. A patch of the received image and a sub-pattern of the reference light pattern are matched based on either a hardcode template matching technique or a probability that the patch corresponds to the sub-pattern. If a lookup table is used, the table may be a probability matrix, may contain precomputed correlations scores or may contain precomputed class IDs. An estimate of depth of the patch is determined based on a disparity between the patch and the sub-pattern.

An example fluidic device includes an elastic tube, a first actuator coupled to an outer surface of the elastic tube between a first end and a second end of the elastic tube, and a second actuator coupled to the outer surface of the elastic tube between the first actuator and the second end of the elastic tube. The first actuator and the second actuator are configured to move apart from one another to transition a portion of the elastic tube positioned between the first actuator and the second actuator from a first condition to a second condition. A diameter of the elastic tube is greater in the first condition than in the second condition. The fluidic device also includes one or more rotatable components coupled to the first actuator and the second actuator which are configured to rotate the portion of the elastic tube positioned between the first actuator and the second actuator.

An example fluidic device includes an elastic tube, a first actuator coupled to an outer surface of the elastic tube between a first end and a second end of the elastic tube, and a second actuator coupled to the outer surface of the elastic tube between the first actuator and the second end of the elastic tube. The first actuator and the second actuator are configured to move apart from one another to transition a portion of the elastic tube positioned between the first actuator and the second actuator from a first condition to a second condition. A diameter of the elastic tube is greater in the first condition than in the second condition. The fluidic device also includes one or more rotatable components coupled to the first actuator and the second actuator which are configured to rotate the portion of the elastic tube positioned between the first actuator and the second actuator.

An exemplary system is configured to detect user input directing a telestration element to be drawn within an image depicting a surface within a scene; render, based on depth data representative of a depth map for the scene and within a three dimensional (3D) image depicting the surface within the scene, the telestration element; record a 3D position within the scene at which the telestration element is rendered within the 3D image; detect a telestration termination event that removes the telestration element from being rendered within the 3D image; and indicate, subsequent to the telestration termination event, an option to again render the telestration element at the 3D position.