Patent application number | Description | Published |
20130156327 | Shape from Differential Motion with Unknown Reflectance - A computer implemented method for determining shape from differential motion with unknown reflectance includes deriving a general relation that relates spatial and temporal image derivatives to bidirectional reflectance distribution function BRDF derivatives, responsive to 3D points and relative camera poses from images and feature tracks of an object in motion under colocated and unknown directional light conditions, employing a rank deficiency in image sequences from the deriving for shape determinations, under predetermined multiple camera and lighting conditions, to eliminate BDRF terms; and recovering a surface depth for determining a shape of the object. | 06-20-2013 |
20140078258 | REAL-TIME MONOCULAR VISUAL ODOMETRY - Systems and methods are disclosed for multithreaded visual odometry by acquired with a single camera on-board a vehicle; using 2D-3D correspondences for continuous pose estimation; and combining the pose estimation with 2D-2D epipolar search to replenish 3D points. | 03-20-2014 |
20140132604 | Semantic Dense 3D Reconstruction - A method to reconstruct 3D model of an object includes receiving with a processor a set of training data including images of the object from various viewpoints; learning a prior comprised of a mean shape describing a commonality of shapes across a category and a set of weighted anchor points encoding similarities between instances in appearance and spatial consistency; matching anchor points across instances to enable learning a mean shape for the category; and modeling the shape of an object instance as a warped version of a category mean, along with instance-specific details. | 05-15-2014 |
20140132727 | Shape from Motion for Unknown, Arbitrary Lighting and Reflectance - Systems and methods are disclosed for determining three dimensional (3D) shape by capturing with a camera a plurality of images of an object in differential motion; derive a general relation that relates spatial and temporal image derivatives to BRDF derivatives; exploiting rank deficiency to eliminate BRDF terms and recover depth or normal for directional lighting; and using depth-normal-BRDF relation to recover depth or normal for unknown arbitrary lightings. | 05-15-2014 |
20140139635 | REAL-TIME MONOCULAR STRUCTURE FROM MOTION - Systems and methods are disclosed for multithreaded navigation assistance by acquired with a single camera on-board a vehicle; using 2D-3D correspondences for continuous pose estimation; and combining the pose estimation with 2D-2D epipolar search to replenish 3D points. | 05-22-2014 |
20140270484 | Moving Object Localization in 3D Using a Single Camera - Systems and methods are disclosed for autonomous driving with only a single camera by moving object localization in 3D with a real-time framework that harnesses object detection and monocular structure from motion (SFM) through the ground plane estimation; tracking feature points on moving cars a real-time framework to and use the feature points for 3D orientation estimation; and correcting scale drift with ground plane estimation that combines cues from sparse features and dense stereo visual data. | 09-18-2014 |
20150116597 | Trajectory Features and Distance Metrics for Hierarchical Video Segmentation - A method to perform hiearchical video segmentation includes: defining voxels over a spatio-temporal video; grouping into segments contiguous voxels that display similar characteristics including similar appearance or motion; determining a trajectory-based feature that complements color and optical flow cues, wherein trajectory cues are probabilistically meaningful histograms combinable for use in a graph-based framework; and applying a max-margin module for cue combination that learns a supervised distance metric for region dissimilarity that combines color, flow and trajectory features. | 04-30-2015 |
20150117709 | Robust Scale Estimation in Real-Time Monocular SFM for Autonomous Driving - A method for performing three-dimensional (3D) localization requiring only a single camera including capturing images from only one camera; generating a cue combination from sparse features, dense stereo and object bounding boxes; correcting for scale in monocular structure from motion (SFM) using the cue combination for estimating a ground plane; and performing localization by combining SFM, ground plane and object bounding boxes to produce a 3D object localization. | 04-30-2015 |
20150117758 | SHAPE FROM CAMERA MOTION FOR UNKNOWN MATERIAL REFLECTANCE - A computer vision method that includes deriving a relationship of spatial and temporal image derivatives of an object to bidirectional reflectance distribution function (BRDF) derivatives under camera motion, and deriving with a processor a quasilinear partial differential equation for solving surfaced depth for orthographic projections using the relationship of spatial and temporal image derivatives without requiring knowledge of the BRDF. The method may further recover surface depth for an object with unknown BRDF under perspective projection. | 04-30-2015 |