Abstract: An electronic device includes a processor and a memory coupled to the processor. The memory includes a computer readable storage medium having computer readable program instructions stored therein that are executable by the processor to determine a position and/or orientation of sensor device that is arranged to capture data for a subject from the position and/or at the orientation, and, based on the position and/or orientation that was determined, control creation of a 3D representation of the subject from the data captured by the sensor device. Related methods and computer program products are also discussed.

Abstract: Methods of creating a texture for a three-dimensional (3D) model using frequency separation and/or depth buffers are provided. Frequency separation may include splitting one or more images each into higher frequency components (which includes finer details such-as facial pores, lines, birthmarks, spots, or other textural details) and lower frequency components (such as color or tone). Depth buffering may include storing higher frequency components of the images within a depth buffer based on a distance of a corresponding vertex in the 3D model from the camera coordinate system, and then, using the closest pixel to the camera. This pixel likely has a highest amount of sharpness or detail. The lower frequency components can be averaged to account for illumination differences, but because the high frequency components have been separated, detail in the final texture may be preserved. Related devices and computer program products are also provided.

Abstract: A method of guiding a user when performing a three-dimensional scan of an object includes determining two-dimensional feature points from two-dimensional captured images of the object, determining three-dimensional coordinates for the two-dimensional feature points, determining a cut plane based on the three-dimensional coordinates that divides the object into a target portion and a cut-away portion, and displaying the target portion of the object on a display using a first indicium and the cut-away portion of the object on the display using a second indicium that is different from the first indicium.

Abstract: Methods of constructing a printable three-dimensional (3D) model are provided. A method of constructing a printable 3D model includes constructing a ray-cast mesh representation of an object by using ray-casting on a preliminary digital 3D model of the object. Moreover, the method includes converting the preliminary digital 3D model of the object into the printable 3D model, of the object by adding, to the preliminary digital 3D model of the object, an interior surface that is based on the ray-cast mesh representation. Related devices and computer program products are also provided.

Abstract: A method for creating a 3D image is described. The method includes receiving a first 2D image and a second 2D image, identifying a plurality of first feature points in the first 2D image and a corresponding plurality of second feature points in the second 2D image, estimating a plurality of distances based on corresponding ones of the plurality of first feature points and based on corresponding ones of the plurality of second feature points, determining a mean and a standard deviation of inverses of the plurality of distances that were estimated, generating a baseline initialization coordinates based on the mean and the standard deviation of inverses of the plurality of distances, generating the 3D image based on the baseline initialization coordinates, and providing the 3D image for display. Related systems, devices and computer program products are also described.

Abstract: Methods of determining whether an environment is suitable or acceptable for performing a three-dimensional (3D) scan are provided. The methods may include performing one or more checks on captured image data of the environment, wherein performing each of the one or more checks comprises determining whether the environment satisfies a respective criterion. The method may further include determining that the environment is suitable or unsuitable for performing the 3D scan based on a result of each performed check. Determining that the environment is suitable for performing the 3D scan may include determining that the environment satisfies each of the respective criteria of the performed one or more checks. Determining that the environment is unsuitable for performing the 3D scan may include determining that the environment does not satisfy at least one criterion of the performed one or more checks. Related devices and computer program products are also provided.

Abstract: Image processing devices utilize computationally efficient operations based on exposure time and object speed to detect and estimate motion blur. These operations include determining, from a plurality of image frames of an object, a representative length of movement associated with at least one feature point of the object, which undergoes movement between the plurality of image frames. This representative length of movement is converted to an estimate of motion blur for a respective image frame, using operations that are function of length of movement and exposure time.

Abstract: A method for determining the scale of a digital 3D model may include receiving, corresponding to a plurality of images, a respective plurality of first distances between the camera and the object in the environment and calculating, using a simultaneous localization and mapping (SLAM) algorithm, a plurality of second distances between the camera and the object in the 3D model of the environment. The method may include calculating a plurality of ratios corresponding to the plurality of images based on respective ones of the plurality of first distances and respective ones of the second distances and determining a scale of the 3D model based on the plurality of ratios. The method may include creating a scaled digital 3D model based on the 3 D model and the determined scale of the 3 D model. Distances and sizes in the scaled 3D model may correspond to actual distances and sizes of the environment.

Abstract: A method for estimating a 3D map and a plurality of poses is described. The method includes non-recursively performing an initialization of the 3D map and the respective poses of the plurality of poses based on a plurality of first 2D images of the series of 2D images, and recursively performing sequential updating of the 3D map based on recursively updating the 3D map for respective ones of a plurality of second 2D images of the series of 2D images. Related systems, devices and computer program products are also described.

Abstract: Methods, systems and computer program products for the generation of 3D images may include receiving a plurality of points that correspond to a surface of an object, generating a first mesh representation of a shape of the object, the first mesh representation comprising a plurality of polygons, respective ones of the plurality of polygons comprising at least three vertices and at least three edges, associating the plurality of points with a first set of the plurality of polygons, classifying a portion of the plurality of points as background points, and adjusting the first mesh representation of the object to create a second mesh representation of the object by removing from the first mesh representation at least one of the first set of the plurality of polygons that is associated with the portion of the plurality of points that are classified as the background points.

Abstract: Methods, systems, and computer program products for removing unused portions of a 3D mesh representation of an object may include generating a first mesh representation of the object, the first mesh representation including a plurality of polygons, respective ones of the polygons including at least three vertices and at least three edges, wherein respective ones of the plurality of polygons are associated with a precision value that indicates an extent to which the respective ones of the plurality of polygons in the first mesh representation match the object, and adjusting the first mesh representation of the object to create a second mesh representation of the object by removing, front the first mesh representation, polygons of the plurality of polygons that are associated with precision values that have not been modified from an initial precision value.

Abstract: A method for creating a 3D image is described. The method includes receiving a plurality of 2D images of an object, identifying respective 2D positions of one or more features in each of the plurality of 2D images, generating a 3D representation of the object, based on the respective 2D positions of the one or more features in each of the plurality of 2D images, and determining a 3D angular orientation of the 3D representation of the object based on relative positions of the one or more features in the 3D representation of the object. Related systems, devices and computer program products are also described.

Abstract: A method for creating a 3D image is described. The method includes receiving a first 2D image and a second 2D image, identifying a plurality of first feature points in the first 2D image and a corresponding plurality of second feature points in the second 2D image, estimating a plurality of distances based on corresponding ones of the plurality of first feature points and based on corresponding ones of the plurality of second feature points, determining a mean and a standard deviation of inverses of the plurality of distances that were estimated, generating a baseline initialization coordinates based on the mean and the standard deviation of inverses of the plurality of distances, generating the 3D image based on the baseline initialization coordinates, and providing the 3D image for display. Related systems, devices and computer program products are also described.

Abstract: Image processing devices utilize computationally efficient operations based on exposure time and object speed to detect and estimate motion blur. These operations include determining, from a plurality of image frames of an object, a representative length of movement associated with at least one feature point of the object, which undergoes movement between the plurality of image frames. This representative length of movement is converted to an estimate of motion blur for a respective image frame, using operations that are function of length of movement and exposure time.

Abstract: An electronic device includes a processor and a memory coupled to the processor. The memory includes a computer readable storage medium having computer readable program instructions stored therein that are executable by the processor to determine a position and/or orientation of sensor device that is arranged to capture data for a subject from the position and/or at the orientation, and, based on the position and/or orientation that was determined, control creation of a 3D representation of the subject from the data captured by the sensor device. Related methods and computer program products are also discussed.

Abstract: A method for estimating a 3D map and a plurality of poses is described. The method includes non-recursively performing an initialization of the 3D map and the respective poses of the plurality of poses based on a plurality of first 2D images of the series of 2D images, and recursively performing sequential updating of the 3D map based on recursively updating the 3D map for respective ones of a plurality of second 2D images of the series of 2D images. Related systems, devices and computer program products are also described.

Abstract: A method of guiding a user when performing a three-dimensional scan of an object includes determining two-dimensional feature points from two-dimensional captured images of the object, determining three-dimensional coordinates for the two-dimensional feature points, determining a cut plane based on the three-dimensional coordinates that divides the object into a target portion and a cut-away portion, and displaying the target portion of the object on a display using a first indicium and the cut-away portion of the object on the display using a second indicium that is different from the first indicium.

Abstract: Methods of determining whether an environment is suitable or acceptable for performing a three-dimensional (3D) scan are provided. The methods may include performing one or more checks on captured image data of the environment, wherein performing each of the one or more checks comprises determining whether the environment satisfies a respective criterion. The method may further include determining that the environment is suitable or unsuitable for performing the 3D scan based on a result of each performed check. Determining that the environment is suitable for performing the 3D scan may include determining that the environment satisfies each of the respective criteria of the performed one or more checks. Determining that the environment is unsuitable for performing the 3D scan may include determining that the environment does not satisfy at least one criterion of the performed one or more checks. Related devices and computer program products are also provided.

Abstract: Methods, systems, and computer program products for removing unused portions of a 3D mesh representation of an object may include generating a first mesh representation of the object, the first mesh representation including a plurality of polygons, respective ones of the polygons including at least three vertices and at least three edges, wherein respective ones of the plurality of polygons are associated with a precision value that indicates an extent to which the respective ones of the plurality of polygons in the first mesh representation match the object, and adjusting the first mesh representation of the object to create a second mesh representation of the object by removing, front the first mesh representation, polygons of the plurality of polygons that are associated with precision values that have not been modified from an initial precision value.

Abstract: A method for determining the scale of a digital 3D model may include receiving, corresponding to a plurality of images, a respective plurality of first distances between the camera and the object in the environment and calculating, using a simultaneous localization and mapping (SLAM) algorithm, a plurality of second distances between the camera and the object in the 3D model of the environment. The method may include calculating a plurality of ratios corresponding to the plurality of images based on respective ones of the plurality of first distances and respective ones of the second distances and determining a scale of the 3D model based on the plurality of ratios. The method may include creating a scaled digital 3D model based on the 3 D model and the determined scale of the 3 D model. Distances and sizes in the scaled 3D model may correspond to actual distances and sizes of the environment.