Abstract: The present invention relates to a silicon anode for a solid-state battery including Si atoms of 99 wt % or more and composed of crystalline Si.

Abstract: The present disclosure relates to a method and device for a camera calibration algorithm using an unbiased conic estimator considering distortion, and may be configured to calculate an ellipse in a normalized coordinate system from a circular pattern in a space, express a center of a distorted ellipse in a camera coordinate system as a linear combination of moments of the ellipse, and perform camera calibration from an image of the circular pattern using the center as a control point.

Abstract: A viral vector delivery system for both respiratory and digestive tracts of pigs and an application thereof are provided. The viral vector delivery system includes a backbone plasmid and a helper plasmid. The backbone plasmid is produced by inserting a full-length cDNA of porcine enterovirus B (PEVB) into a pUC57 plasmid. The helper plasmid is produced by inserting a green fluorescent protein-coding gene into a plasmid pCAG-T7-polymerase. The viral vector delivery system can be constructed with high efficiency, can quickly cause a cytopathic effect (CPE) after infecting cells, has a viral titer up to 107.75 TCID50/mL, and can maintain high stability. A pathogenic epitope for the respiratory and digestive tracts of pigs is inserted into the backbone plasmid to produce a vaccine antigen, which is non-pathogenic, has high stability and a high viral titer, and allows a prominent immunization effect after being inoculated in pigs.

Abstract: A viral vector delivery system for both respiratory and digestive tracts of pigs and an application thereof are provided. The viral vector delivery system includes a backbone plasmid and a helper plasmid. The backbone plasmid is produced by inserting a full-length cDNA of porcine enterovirus B (PEVB) into a pUC57 plasmid. The helper plasmid is produced by inserting a green fluorescent protein-coding gene into a plasmid pCAG-T7-polymerase. The viral vector delivery system can be constructed with high efficiency, can quickly cause a cytopathic effect (CPE) after infecting cells, has a viral titer up to 107.75 TCID50/mL, and can maintain high stability. A pathogenic epitope for the respiratory and digestive tracts of pigs is inserted into the backbone plasmid to produce a vaccine antigen, which is non-pathogenic, has high stability and a high viral titer, and allows a prominent immunization effect after being inoculated in pigs.

Abstract: A vision apparatus for a moving body is provided. The vision apparatus for a moving body includes a plurality of cameras that are arranged to be distanced from one another, and are arranged in a diagonal direction to the moving direction of the moving body, and a processor that receives images photographed at each of the plurality of cameras, and stereo-matches the plurality of received images and generates distance information for all directions of the moving body.

Abstract: A vision apparatus for a moving body is provided. The vision apparatus for a moving body includes a plurality of cameras that are arranged to be distanced from one another, and are arranged in a diagonal direction to the moving direction of the moving body, and a processor that receives images photographed at each of the plurality of cameras, and stereo-matches the plurality of received images and generates distance information for all directions of the moving body.

Abstract: The prevention of vehicle accidents is targeted. A road texture model is created based on a vehicle camera image. An initial vehicle location estimate is determined, and map imagery is obtained based on this location estimate. A refined vehicle location is determined using visual egomotion. In particular, 3D features of the vehicle image and the retrieved map imagery are identified and aligned. A map image is selected based on this alignment, and the location associated with the map image is modified by a displacement between the selected map image and the vehicle image to produce a refined vehicle location. A road boundary model is created based on the road texture model and the refined vehicle location, and a road departure model is created based on the road boundary model and vehicle odometry information. The operator of the vehicle is warned of a road departure based on the road departure model.

Abstract: A system and method are disclosed for online mapping of large-scale environments using a hybrid representation of a metric Euclidean environment map and a topological map. The system includes a scene module, a location recognition module, a local adjustment module and a global adjustment module. The scene flow module is for detecting and tracking video features of the frames of an input video sequence. The scene flow module is also configured to identify multiple keyframes of the input video sequence and add the identified keyframes into an initial environment map of the input video sequence. The location recognition module is for detecting loop closures in the environment map. The local adjustment module enforces local metric properties of the keyframes in the environment map, and the global adjustment module is for optimizing the entire environment map subject to global metric properties of the keyframes in the keyframe pose graph.

Abstract: A system and method are disclosed for estimating camera motion of a visual input scene using points and lines detected in the visual input scene. The system includes a camera server comprising a stereo pair of calibrated cameras, a feature processing module, a trifocal motion estimation module and an optional adjustment module. The stereo pair of the calibrated cameras and its corresponding stereo pair of camera after camera motion form a first and a second trifocal tensor. The feature processing module is configured to detect points and lines in the visual input data comprising a plurality of image frames. The feature processing module is further configured to find point correspondence between detected points and line correspondence between detected lines in different views. The trifocal motion estimation module is configured to estimate the camera motion using the detected points and lines associated with the first and the second trifocal tensor.

Abstract: Provided is a method of processing images. The method may include obtaining a plurality of radially-distorted images captured from one location in different directions, the plurality of images each having a field of view, and neighboring images among the plurality of images having overlapping fields of view. The method may further include reducing relative distortion of portions of the neighboring images in the overlapping fields of view of the neighboring images, matching features between the reduced distortion portions of neighboring images in the overlapping fields of view, and storing in memory data indicative of matched features.

Abstract: A system and method are disclosed for estimating camera motion and structure reconstruction of a scene using lines. The system includes a line detection module, a line correspondence module, a temporal line tracking module and structure and motion module. The line detection module is configured to detect lines in visual input data comprising a plurality of image frames. The line correspondence module is configured to find line correspondence between detected lines in the visual input data. The temporal line tracking module is configured to track the detected lines temporally across the plurality of the image frames. The structure and motion module is configured to estimate the camera motion using the detected lines in the visual input data and to reconstruct three-dimensional lines from the estimated camera motion.

Abstract: A system and method are disclosed for online mapping of large-scale environments using a hybrid representation of a metric Euclidean environment map and a topological map. The system includes a scene module, a location recognition module, a local adjustment module and a global adjustment module. The scene flow module is for detecting and tracking video features of the frames of an input video sequence. The scene flow module is also configured to identify multiple keyframes of the input video sequence and add the identified keyframes into an initial environment map of the input video sequence. The location recognition module is for detecting loop closures in the environment map. The local adjustment module enforces local metric properties of the keyframes in the environment map, and the global adjustment module is for optimizing the entire environment map subject to global metric properties of the keyframes in the keyframe pose graph.

Abstract: A system and method are disclosed for calibrating a plurality of projectors for three-dimensional scene reconstruction. The system includes a plurality of projectors and at least one camera, a camera-projector calibration module and a projector-projector calibration module. The camera-projector calibration module is configured to calibrate a first projector with the camera and generate a first camera-projector calibration data using camera-projector duality. The camera-projector calibration module is also configured to calibrate a second projector with the camera and generate a second camera-projector calibration data. The projector-projector calibration module is configured to calibrate the first and the second projector using the first and the second camera-projector calibration data.

Abstract: A system (and a method) are disclosed for recognizing and representing activities in a video sequence. The system includes an activity dynamic Bayesian network (ADBN), an object/action dictionary, an activity inference engine and a state output unit. The activity dynamic Bayesian network encodes the prior information of a selected activity domain. The prior information of the selected activity domain describes the ordering, temporal constraints and contextual cues among the expected actions. The object/action dictionary detects activities in each frame of the input video stream, represents the activities hierarchically, and generates an estimated observation probability for each detected action. The activity inference engine estimates a likely activity state for each frame based on the evidence provided by the object/action dictionary and the ADBN. The state output unit outputs the likely activity state generated by the activity inference engine.

Abstract: A system and method are disclosed for generating an optimized projection pattern and for using the optimized projection pattern for depth reconstruction. The system includes a De Bruijn graph generation module, a non-recurring De Bruijn sequence generation module and projection pattern generation module. The De Bruijn graph generation module is configured to generate a classical De Bruijn graph. The non-recurring De Bruijn sequence generation module is configured to generate a non-recurring De Bruijn sequence by eliminating nodes with recurring alphabets from the classical De Bruijn sequence and calculating a Hamiltonian cycle of the modified De Bruijn graph. The projection pattern generation module is configured to generate the optimized projection pattern form the non-recurring De Bruijn sequence. The system further comprises a projector to project the non-recurring De Bruijn sequence to a plurality of images and a depth reconstruction module to reconstruct depth images from the plurality of the images.

Abstract: A system and method are disclosed for estimating camera motion of a visual input scene using points and lines detected in the visual input scene. The system includes a camera server comprising a stereo pair of calibrated cameras, a feature processing module, a trifocal motion estimation module and an optional adjustment module. The stereo pair of the calibrated cameras and its corresponding stereo pair of camera after camera motion form a first and a second trifocal tensor. The feature processing module is configured to detect points and lines in the visual input data comprising a plurality of image frames. The feature processing module is further configured to find point correspondence between detected points and line correspondence between detected lines in different views. The trifocal motion estimation module is configured to estimate the camera motion using the detected points and lines associated with the first and the second trifocal tensor.

Abstract: The prevention of vehicle accidents is targeted. A road texture model is created based on a vehicle camera image. An initial vehicle location estimate is determined, and map imagery is obtained based on this location estimate. A refined vehicle location is determined using visual egomotion. In particular, 3D features of the vehicle image and the retrieved map imagery are identified and aligned. A map image is selected based on this alignment, and the location associated with the map image is modified by a displacement between the selected map image and the vehicle image to produce a refined vehicle location. A road boundary model is created based on the road texture model and the refined vehicle location, and a road departure model is created based on the road boundary model and vehicle odometry information. The operator of the vehicle is warned of a road departure based on the road departure model.

Abstract: A system and method are disclosed for estimating camera motion and structure reconstruction of a scene using lines. The system includes a line detection module, a line correspondence module, a temporal line tracking module and structure and motion module. The line detection module is configured to detect lines in visual input data comprising a plurality of image frames. The line correspondence module is configured to find line correspondence between detected lines in the visual input data. The temporal line tracking module is configured to track the detected lines temporally across the plurality of the image frames. The structure and motion module is configured to estimate the camera motion using the detected lines in the visual input data and to reconstruct three-dimensional lines from the estimated camera motion.

Abstract: A system and a method model the motion of a non-rigid object using a thin plate spline (TPS) transform. A first image of a video sequence is received, and a region of interest, referred to as a template, is chosen manually or automatically. A set of arbitrarily-chosen fixed reference points is positioned on the template. A target image of the video sequence is chosen for motion estimation relative to the template. A set of pixels in the target image corresponding to the pixels of the template is determined, and this set of pixels is back-warped to match the template using a thin-plate-spline-based technique. The error between the template and the back-warped image is determined and iteratively minimized using a gradient descent technique. The TPS parameters can then be used to estimate the relative motion between the template and the corresponding region of the target image.

Abstract: A system and method are disclosed for generating an optimized projection pattern and for using the optimized projection pattern for depth reconstruction. The system includes a De Bruijn graph generation module, a non-recurring De Bruijn sequence generation module and projection pattern generation module. The De Bruijn graph generation module is configured to generate a classical De Bruijn graph. The non-recurring De Bruijn sequence generation module is configured to generate a non-recurring De Bruijn sequence by eliminating nodes with recurring alphabets from the classical De Bruijn sequence and calculating a Hamiltonian cycle of the modified De Bruijn graph. The projection pattern generation module is configured to generate the optimized projection pattern form the non-recurring De Bruijn sequence. The system further comprises a projector to project the non-recurring De Bruijn sequence to a plurality of images and a depth reconstruction module to reconstruct depth images from the plurality of the images.