Methods to automatically recognize bevel features and bevel chains in inner bounding loops and outer bounding loops of walls and bends in sheet metal models or on solid models are disclosed, which may be used for computer aided design, manufacturing, DFX, costing, etc. Recognition methods of various types of bevels and classification of bevels as V-bevel, inverted V-bevel, Y-bevel, inverted Y-bevel, X-bevel, K-bevel, generic bevels and different types of vertex bevels are disclosed. Bevel chain recognition methods that assemble the same type of bevels into bevel chains and identify the bevel chains as tangential bevel chains, non-tangential bevel chains and mixed bevel chains based on the connectivity between the bevels are disclosed. Methods to generate bevel profiles that may be used for feature recreation, feature suppression, or tool path generation for cutting features for manufacturing are disclosed.

Disclosed are techniques for enhancing two-dimensional (2D) image capture of subjects (e.g., a physical structure, such as a residential building) to maximize the feature correspondences available for three-dimensional (3D) model reconstruction. More specifically, disclosed is a computer-vision network configured to provide viewfinder interfaces and analyses to guide the improved capture of an intended subject for specified purposes. Additionally, the computer-vision network can be configured to generate a metric representing a quality of feature correspondences between images of a complete set of images used for reconstructing a 3D model of a physical structure. The computer-vision network can also be configured to generate feedback at or before image capture time to guide improvements to the quality of feature correspondences between a pair of images.

An image processing apparatus comprises: a first processing circuit which carries out image processing on a first image signal obtained from image signals forming a single image; a second processing circuit which carries out the image processing on a second image signal obtained from the image signals forming the image; and a control circuit which controls communication of image signals between the first processing circuit and the second processing circuit, wherein the first image signal and the second image signal do not have overlap region; and wherein the control circuit controls the communication for transferring an image signal of a region of the image additionally required when the first processing circuit carries out the image processing on the first image signal from the second processing circuit to the first processing circuit.

Pursuant to the increase in the number of objects to be managed and the complication of relations of the objects to be managed, the current condition is that the visibility of the GUI of management software is deteriorating. As one such current condition, there is a problem in that the display name of equipment to be managed on the GUI cannot be entirely displayed depending on the screen. Thus, the present invention improves the readability on the GUI by changing the display name according to the objective of the administrator by using a label in which the display name is divided into morphemes and the priority assigned thereto, as well as using topology information, and fitting the display name within the display area prepared on the screen.

An image processing apparatus comprises: a first processing circuit which carries out image processing on a first image signal obtained from image signals forming a single image; a second processing circuit which carries out the image processing on a second image signal obtained from the image signals forming the image; and a control circuit which controls communication of image signals between the first processing circuit and the second processing circuit, wherein the first image signal and the second image signal do not have overlap region; and wherein the control circuit controls the communication for transferring an image signal of a region of the image additionally required when the first processing circuit carries out the image processing on the first image signal from the second processing circuit to the first processing circuit.

A camera is installed in a vehicle in which a plurality of seat rows are arranged, and captures an image of an inside of the vehicle. A face detection unit detects a face region of a passenger from the image captured by the camera. A seating row specification unit specifies a seat row in which the passenger with the face region being detected is seated. A seating position specification unit specifies a seat position of the passenger in the vehicle, based on a range of a seat position in the image and the seat row being specified, the range of the seat position being prepared for each seat row.

Pursuant to the increase in the number of objects to be managed and the complication of relations of the objects to be managed, the current condition is that the visibility of the GUI of management software is deteriorating. As one such current condition, there is a problem in that the display name of equipment to be managed on the GUI cannot be entirely displayed depending on the screen. Thus, the present invention improves the readability on the GUI by changing the display name according to the objective of the administrator by using a label in which the display name is divided into morphemes and the priority assigned thereto, as well as using topology information, and fitting the display name within the display area prepared on the screen.

Disclosed are techniques for enhancing two-dimensional (2D) image capture of subjects (e.g., a physical structure, such as a residential building) to maximize the feature correspondences available for three-dimensional (3D) model reconstruction. More specifically, disclosed is a computer-vision network configured to provide viewfinder interfaces and analyses to guide the improved capture of an intended subject for specified purposes. Additionally, the computer-vision network can be configured to generate a metric representing a quality of feature correspondences between images of a complete set of images used for reconstructing a 3D model of a physical structure. The computer-vision network can also be configured to generate feedback at or before image capture time to guide improvements to the quality of feature correspondences between a pair of images.

An image set is refined by selection criteria among captured images, such that images within the set must satisfy criteria such as feature matching among a plurality of frames or positional changes between frame pairs or sufficient overlap of reprojected points of one image into another image such that the reprojected points or features are observed in the frustum or coordinate space of the another image.

Disclosed are techniques for enhancing two-dimensional (2D) image capture of subjects (e.g., a physical structure, such as a residential building) to maximize the feature correspondences available for three-dimensional (3D) model reconstruction. More specifically, disclosed is a computer-vision network configured to provide viewfinder interfaces and analyses to guide the improved capture of an intended subject for specified purposes. Additionally, the computer-vision network can be configured to generate a metric representing a quality of feature correspondences between images of a complete set of images used for reconstructing a 3D model of a physical structure. The computer-vision network can also be configured to generate feedback at or before image capture time to guide improvements to the quality of feature correspondences between a pair of images.