Abstract:
A method determines poses of a sensors distributed in an environment. A signal of the environment is acquired by each sensor. Features in each signal that correspond to the features in at least one other signal are identified. Directions between the sensors and the corresponding features are determined. Nullspaces of the directions are used to construct a matrix. A nullspace eigenvector is determined of the matrix, and then the nullspace eigenvector is reconfigured to a matrix specifying the locations of the sensors.
Abstract:
A method constructs a super-resolution texture from a sequence of images of a non-rigid three-dimensional object. A shape of the object is represented as a matrix of vertices, and a basis of possible deformations of the object is represented as a matrix of displacements of the 3D points, the matrices of 3D points and displacements form a model of the object in the video. A set of correspondences between the points in model and the object in the images is formed. The points in each image are connected using the set of correspondences to form a triangle texture mesh for each image. Each triangle mesh is warped to a common coordinate system while super-sampling texture in each image. The warped and super-sampled triangle meshes are averaged to produce the super-sampled texture of the object in the image.
Abstract:
A method infers a target path in a target system from a cue path. The method learns a target state machine, target probability density functions and an occupancy matrix of the state machine from training target paths. Cue probability density functions are learned from a training cue path and the target occupancy matrix. A cue path is analyzed using the cue probability density functions and the target state machine to produce hidden states of the cue path. The target path is synthesized from the hidden states of the cue path and the target probability density functions.
Abstract:
A set of cars in an elevator system are scheduled by assigning passengers to the cars such that a current schedule for each car does not exceed a predetermined maximum number of stops per round trip, and the car is filled as near as possible to a maximum capacity at a predetermined bottleneck.
Abstract:
Locations in a pattern of a part are evaluated to determine if the locations are interior or exterior to a feature of the pattern. The pattern is used to cut the feature from a material by a laser cutting machine. A location in the feature is rendered into an array stored in a memory so that a value stored at an address in the array corresponding to coordinates of the location is either odd or even as determined by a counting process of the rendering. Then, the location is identified as being interior if the value is odd, and as being exterior if the value is even. The rendering can use modified forms of either rasterization or ray casting.
Abstract:
A method solves a quadratic programming (QP) problem in real-time implementations of model predictive control for automation applications. The method can be implemented for fine-grained parallel solutions. Due to the extreme simplicity of the method, even serial implementations offer considerable speed advantages. The method solves the problem by formulating, over a predetermined time interval, an optimization problem with a quadratic cost function, and linear state and control constraints as a quadratic program for the application. Then, the quadratic program is solved by applying a parallel quadratic programming update law starting from a positive initial estimate to obtain control actions for the application.
Abstract:
An image for a virtual view of a scene is generated based on a set of texture images and a corresponding set of depth images acquired of the scene. A set of candidate depth values associated with each pixel of a selected image is determined. For each candidate depth value, a cost that estimates a synthesis quality of the virtual image is determined. The candidate depth value with a least cost is selected to produce an optimal depth value for the pixel. Then, the virtual image is synthesized based on the optimal depth value of each pixel and the texture images.
Abstract:
A motion of a first car and a second car in a multi-car elevator system, wherein the first car and the second car move independently in an elevator shaft, is controlled by generating a command to move the first car according to a first deceleration curve, if a relationship between a position and a velocity of the first car corresponds to a value on the first deceleration curve; and by generating a command to move the second car according to a second deceleration curve, if a relationship between position and a velocity of the second car corresponds to a value on the second deceleration curve, wherein a distance between the first and the second deceleration curve is equals or greater than a minimum distance.
Abstract:
A location and orientation in an environment is determined by first acquiring a real omni-directional image of an unknown skyline in the environment. A set of virtual omni-directional images of known skylines are synthesized from a 3D model of the environment, wherein each virtual omni-directional image is associated with a known location and orientation. The real omni-directional image with each virtual omni-directional images to determine a best matching virtual omni-directional image with the associated known location and orientation.
Abstract:
A method routs a packet from a source node, via relay nodes, to a destination node. The nodes are connected by wireless links x. A channel power gain γ is measured for each link x. Resource trade-off curves y=f(x) are constructed for each link x from the channel power gains γ, wherein y represents a set of resources. A hyperbolic upper bound h/x+c is fitted to each resource curve, such that h/x+c≧f(x), wherein h is a scale factor, and c is an offset. A route with an optimal resource allocation is selected according to the hyperbolic upper bounds. Then, the packet is transmitted from the source node to the destination node using the route.
Abstract translation:方法将来自源节点的分组经由中继节点路由到目的地节点。 节点通过无线链路x连接。 对于每个链路x测量信道功率增益γ。 对于来自信道功率增益γ的每个链路x构造资源权衡曲线y = f(x),其中y表示一组资源。 双曲线上限h / x + c适合于每个资源曲线,使得h / x +c≥f(x),其中h是比例因子,c是偏移。 根据双曲线上限选择具有最佳资源分配的路由。 然后,使用该路由从源节点向目的地节点发送分组。