Abstract: Texture extraction is disclosed.

Abstract: Texture extraction is disclosed.

Abstract: An image of an object captured by a camera includes a surface that corresponds to a non-planar surface of the object and/or that has distortions introduced by a three-dimensional (3D) perspective of the camera relative to the object during image capture. Pose parameters are determined from the captured image by using a machine learning model. Image space 2D coordinates that planarize and/or undistort the surface of the captured image are determined based on the pose parameters, a parameterized surface model definition, and camera properties. The image is interpolated using the image space 2D coordinates to produce a texture image corresponding to the captured image and including a surface that corresponds to the surface of the captured image but that is planar and/or undistorted.

Abstract: A method of shape detection detects a figure with a contouring loop method that extracts at least one iso-contour polygon from a set of pixels in an image using a triangular lattice superimposed over the set of pixels of the image. Then starting from an original triangle, the iso-contour polygon is extracted by selecting an intensity chroma value within the set of pixels between three corners of a triangle to find a directed line segment that represent the crossing of the intensity value within the triangle, and an exit point of the directed line segment and a nearest triangle which contains the next directed line segment of the at least one iso-contour polygon are determined to create a first matrix of points on the at least one iso-contour polygon, until arriving at the original triangle.

Abstract: In embodiments, one or more targets may be permanently or removably affixed to one or more components of a mechanical system. A computer guided tuning system may be used to identify the pose, position, or orientation of one or more elements of the mechanical system. The computer guided tuning system may then be able to provide feedback to a user to adjust the mechanical system.

Abstract: A method of shape detection detects a figure with a contouring loop method that extracts at least one iso-contour polygon from a set of pixels in an image using a triangular lattice superimposed over the set of pixels of the image. Then starting from an original triangle, the iso-contour polygon is extracted by selecting an intensity chroma value within the set of pixels between three corners of a triangle to find a directed line segment that represent the crossing of the intensity value within the triangle, and an exit point of the directed line segment and a nearest triangle which contains the next directed line segment of the at least one iso-contour polygon are determined to create a first matrix of points on the at least one iso-contour polygon, until arriving at the original triangle.

Abstract: We disclose a photogrammetry target that includes a background having a first color and a plurality of ovoid regions located on the background and having a second color contrasting the first color. We further disclose a method and system for detecting the target and processing image data captured from the target to discern therefrom at least one of a distance to the target, identification of the target, or pose of the target.

Abstract: In embodiments, one or more targets, each comprising one or more dots, may be permanently or removably affixed to one or more components of a mechanical system such as a bicycle. A computing device may capture a two-dimensional image of the one or more targets. The two-dimensional image may be processed and the location of the targets in three-dimensional space may be determined based at least in part on the processing. Based at least in part on the location of the targets in three-dimensional space, one or more adjustments to one or more of the components of the mechanical system may be identified, and instructions related to those adjustments may be provided to the user. In embodiments, the computing device may be a smartphone. In embodiments, the one or more components may be one or more of a bicycle frame, derailleur, and/or cassette.

Abstract: We disclose a photogrammetry target that includes a background having a first color and a plurality of ovoid regions located on the background and having a second color contrasting the first color. We further disclose a method and system for detecting the target and processing image data captured from the target to discern therefrom at least one of a distance to the target, identification of the target, or pose of the target.

Abstract: Captured images are associated with orientation. An imaginary rotational control can be used to play back the captured images associated with orientation.

Abstract: We disclose a photogrammetry target that includes a background having a first color and a plurality of ovoid regions located on the background and having a second color contrasting the first color. We further disclose a method and system for detecting the target and processing image data captured from the target to discern therefrom at least one of a distance to the target, identification of the target, or pose of the target.

Abstract: We disclose a photogrammetry target that includes a background having a first color and a plurality of ovoid regions located on the background and having a second color contrasting the first color. We further disclose a method and system for detecting the target and processing image data captured from the target to discern therefrom at least one of a distance to the target, identification of the target, or pose of the target.