Abstract:
Methods and systems for detecting an object borderline. A first image with respect to the object can be captured by an image-capturing unit without a flash light and borderlines of the object can be detected. If the detection is successful, the detected borderlines can be outputted. Otherwise, a second image with respect to the object can be captured by the image-capturing unit by applying a flash light and the borderlines can be detected in the image. A geometric transformation between the two images can then be estimated. Finally, the border lines in the first image can be determined by transforming the borderlines detected in the second image. Such an approach effectively detects the appliance borderlines and avoids artifacts caused by applying flash.
Abstract:
A method for processing an image of a patch panel includes: a) receiving an initial image; b) determining multiple ports of the patch panel are aligned in a desired orientation in the initial image; c) processing the initial image to identify edge lines perpendicular to the desired orientation; d) processing the edge lines to identify a port hypothesis that includes an estimated port gap between the multiple ports along the desired orientation and an estimated port size for the multiple ports along the desired orientation; e) processing the port hypothesis to determine an estimated port quantity for the multiple ports; and f) processing the port hypothesis to identify an estimation error between expected and detected edge line positions in relation to a reference axis perpendicular to the edge lines. An apparatus associated therewith includes an input/output and pre-processing modules and detection, hypothesis, estimating, and scoring processors.
Abstract:
A method for determining parking availability includes receiving video data from a sequence of frames taken from an image capture device monitoring a parking area. The method includes detecting at least one object located in the parking area. The method includes determining boundaries of the parking area. The boundaries include at least an inner boundary relative to the image capture device and an outer boundary relative to the image capture device. The outer boundary is substantially parallel to the inner boundary. The method further includes computing a length of at least one of the object and a space between objects using an object pixel for each of the inner and outer boundaries. Using the computed length, The method includes determining a parking availability in the parking area. The method includes outputting a notice of the parking availability to a user.
Abstract:
Methods and systems for improving driver visibility during bad weather and/or poor lighting for objects such as road signs, road lines, road markings, etc. The disclosed approach can enhance the captured images by exploiting priori knowledge about the scene and the objects that are stored in a database. In general, the orientation and location of a vehicle can be determined, and data can be retrieved which is indicative of stationary objects that are anticipated to be detectable at a current orientation and location of the vehicle. A captured scene is compared to data retrieved from the database using the information regarding the orientation and the location of the vehicle such that a matching scene indicates where objects are expected to appear in the captured scene and improve driver visibility with respect to the vehicle during poor driving conditions.
Abstract:
A system captures or otherwise receives a video and uses the video to create an electronic file corresponding to a multi-faceted printed artifact, such as a multi-page document. When the system receives the video, it selects a set of some or all of the video's image frames, determines a frame quality for each frame in the set, and identifies a subset of the frames such that the frame quality of each frame in the subset satisfies one or more image quality criteria. The subset will include at least one frame for each facet of the multi-faceted printed artifact, such as a page of the document. The processor then automatically combines the subset of frames into a single electronic file.
Abstract:
A method of estimating one or more dimensions of a patch panel may include receiving an image of a patch panel that comprises a plurality of ports and one or more gaps, extracting, by a computing device, a region of interest from the received image, detecting, by the computing device, one or more line segments from the region of interest, determining whether one or more candidate ports can be identified based on at least a portion of the line segments, and in response to determining that one or more candidate ports can be identified, identifying one or more candidate ports, and determining, by the computing device, a gap length associated with the identified candidate ports.
Abstract:
A method of estimating one or more dimensions of a patch panel may include receiving an image of a patch panel that comprises a plurality of ports and one or more gaps, extracting, by a computing device, a region of interest from the received image, detecting, by the computing device, one or more possible port edges from the region of interest, fitting the detected possible port edges to a cross-ratio constancy model to determine a port-to-gap-length ratio associated with the patch panel, using the port-length-to-gap-length ratio to determine a location of one or more final port edges, and determining a location of one or more final ports based on the location of the final port edges.
Abstract:
A method of estimating one or more dimensions of a patch panel may include receiving an image of a patch panel that comprises a plurality of ports and one or more gaps, extracting, by a computing device, a region of interest from the received image, detecting, by the computing device, one or more line segments from the region of interest, determining whether one or more candidate ports can be identified based on at least a portion of the line segments, and in response to determining that one or more candidate ports can be identified, identifying one or more candidate ports, and determining, by the computing device, a gap length associated with the identified candidate ports.
Abstract:
A method and apparatus for obtaining an image and providing one or more document files to a user is disclosed. The method may include receiving an image of a target object using an imaging device, analyzing the image to identify one or more features, and accessing a model database to identify an object model having features that match the identified features from the image. When the system determines that more than one model may be a match, the method looks for distinguishing features of the target object and selects a model that includes the distinguishing features. The method then includes, retrieving a document file that corresponds to the identified model from a file database, and providing the document file to a user.
Abstract:
A system captures or otherwise receives a video and uses the video to create an electronic file corresponding to a multi-faceted printed artifact, such as a multi-page document. When the system receives the video, it selects a set of some or all of the video's image frames, determines a frame quality for each frame in the set, and identifies a subset of the frames such that the frame quality of each frame in the subset satisfies one or more image quality criteria. The subset will include at least one frame for each facet of the multi-faceted printed artifact, such as a page of the document. The processor then automatically combines the subset of frames into a single electronic file.