Abstract:
The subject disclosure relates to generating three-dimensional façade models from images. In one aspect, a systematic decomposition schema is disclosed for a façade structured into a Direct Acyclic Graph and implemented as a top-down recursive subdivision and bottom-up merging. In a further aspect, optimization of façade depth operating in a façade surface and in the super-pixel level of a whole subdivision region is described.
Abstract:
Embodiments related to the removal of blur from an image are disclosed. One disclosed embodiment provides a method of performing an iterative non-blind deconvolution of a blurred image to form an updated image. The method comprises downsampling the blurred image to form a blurred image pyramid comprising images of two or more different resolution scales, downsampling a blur kernel to form a blur kernel pyramid comprising kernels of two or more different sizes, and deconvoluting a selected image in the blurred image pyramid according to a Richardson-Lucy deconvolution process in which a bilateral range/spatial filter is employed.
Abstract:
Systems and methods are provided to facilitate architectural modeling. In one aspect, a modeling system is provided. This includes a processor configured to generate remodeled images associated with one or more architectural structures. A procedural model is configured to integrate an approximate model from aerial images of the architectural structures and a three-dimensional (3D) reconstruction model from ground-level images of the architectural structures.
Abstract:
Systems and methods are provided to facilitate architectural modeling. In one aspect, a modeling system is provided. This includes a processor configured to generate remodeled images associated with one or more architectural structures. A procedural model is configured to integrate an approximate model from aerial images of the architectural structures and a three-dimensional (3D) reconstruction model from ground-level images of the architectural structures.
Abstract:
Systems and methods are provided to facilitate architectural modeling. In one aspect, repetitive patterns are automatically detected and analyzed to generate modeled structural images such as building facades. In another aspect, structural symmetry is analyzed to facilitate architectural modeling and enhanced image generation.
Abstract:
A blade head assembly for a hand-held hair cutting appliance includes a blade clamping device urging a cutting edge margin of a second blade in sliding engagement with a cutting edge margin of a first blade. The blade clamping device includes a clamping head operable for pivoting generally toward and generally away from the second blade about a pivot axis. The clamping head is resiliently biased generally toward the second cutting blade about the pivot axis into sliding engagement with the second blade. The second blade is slidable relative to the clamping head during reciprocating movement of the second blade relative to the first blade.
Abstract:
The subject disclosure relates to generating three-dimensional façade models from images. In one aspect, a systematic decomposition schema is disclosed for a façade structured into a Direct Acyclic Graph and implemented as a top-down recursive subdivision and bottom-up merging. In a further aspect, optimization of façade depth operating in a façade surface and in the super-pixel level of a whole subdivision region is described.
Abstract:
Systems, methods, and apparatus are described that that increase computer vision analysis in the field of semantic segmentation. With images accompanied by scan data, both two-dimensional and three-dimensional image information is employed for joint segmentation. Through the established correspondence between image data and scan data, two-dimensional and three-dimensional information respectively associated therewith is integrated. Using trained random forest classifiers, the probability of each pixel in images belonging to different object classes is predicted. With the predicted probability, optimization of the labeling of images and scan data is performed by integrating multiples cues in the markov random field.
Abstract:
The present invention discloses a load-sensing multi-way valve with a variable differential pressure, where each valve group uses a new element: an electro-hydraulic pressure compensation valve, so as to implement continuous real-time adjustment and control of compensated differential pressure and real-time position feedback and monitoring of a compensation valve trim, and overcome a flow mismatch problem of a conventional LS system in a flow saturation working condition and problems of a fixed shunting proportion of an LUDV system and poor operation coordination of actuators. The load-sensing multi-way valve with a variable differential pressure disclosed in the present invention has advantages such as strong working condition applicability, high flow distribution accuracy, and strong technicality.
Abstract:
The subject disclosure relates to generating models from images. In an aspect, multi-view semantic segmentation is provided to recognize and segment images at the pixel level into semantically meaningful areas, and which can provide labels with a specific object class. In further aspects, a partition scheme is provided that can separate objects into independent blocks using major line structures of a scene. In addition, an inverse patch-based orthographic composition and structure analysis on a block is provided that can regularize noisy and missing reconstructed 3D data to facilitate image-based modeling.