203results about How to "Efficient reconstruction" patented technology

This invention concerns a network comprising a master and slaves. In the network, each slave figures out its performance values as performance parameters and transmits the performance parameters to the master. The master performs a process of selecting a backup master as a candidate for the next master, on the basis of the performance parameters transmitted from the slaves. The master supplies BM information containing synchronization information and the address of the backup master selected, to the slaves. When the master is removed from the network, the slaves determine the next master in accordance with the backup-master information. Thus, the slaves can be immediately connected to the next master.

A headphone down mix signal can be efficiently derived from a parametric down mix of a multi-channel signal, when modified HRTFs (head related transfer functions) are derived from HRTFs of a multi-channel signal using a level parameter having information on a level relation between two channels of the multi-channel signals such that a modified HRTF is stronger influenced by the HRTF of a channel having a higher level than by the HRTF of a channel having a lower level. Modified HRTFs are derived within the decoding process taking into account the relative strength of the channels associated to the HRTFs. The HRTFs are thus modified such that a down mix signal of a parametric representation of a multi-channel signal can directly be used to synthesize the headphone down mix signal without the need of an intermediate full parametric multi-channel reconstruction of the parametric down mix.

A video holographic display device operates so that the size of a reconstructed three dimensional scene is a function of the size of the hologram-bearing medium; the reconstructed three dimensional scene can then be anywhere within a volume defined by the hologram-bearing medium and a virtual observer window through which the reconstructed three dimensional scene must be viewed. This contrasts with conventional holograms, in which the size of the reconstructed scene is localised to a far smaller volume and is not a function of the size of the hologram-bearing medium at all.

A method and system are presented for real time Super-Resolution image reconstruction. According to this technique, data indicative of a video frame sequence compressed by motion compensated compression technique is processed, and representations of one or more video objects (VOs) appearing in one or more frames of said video frame sequence are obtained. At least one of these representations is utilized as a reference representation and motion vectors, associating said representations with said at least one reference representation, are obtained from said data indicative of the video frame sequence. The representations and the motion vectors are processed, and pixel displacement maps are generated, each associating at least some pixels of one of the representations with locations on said at least one reference representation. The reference representation is re-sampled according to the sub-pixel accuracy of the displacement maps, and a re-sampled reference representation is obtained. Pixels of said representations are registered against the re-sampled reference representation according to the displacement maps, thereby providing super-resolved image of the reference representation of said one or more VOs.

This invention will introduce a fast and effective target approach planning method preferably for needle guided percutaneous interventions using a rotational X-ray device. According to an exemplary embodiment A targeting method for targeting a first object in an object under examination is provided, wherein the method comprises selecting a first two-dimensional image of an three-dimensional data volume representing the object under examination, determining a target point in the first two-dimensional image, displaying an image of the three-dimensional data volume with the selected target point. Furthermore, the method comprises positioning the said image of the three-dimensional data volume by scrolling and / or rotating such that a suitable path of approach crossing the target point has a first direction parallel to an actual viewing direction of the said image of the three-dimensional data volume and generating a second two-dimensional image out of the three-dimensional data volume, wherein a normal of the plane of the second two-dimensional image is oriented parallel to the first direction and crosses the target point.

The present invention is based on the finding that a reconstructed output channel, reconstructed with a multi-channel reconstructor using at least one downmix channel derived by downmixing a plurality of original channels and using a parameter representation including additional information on a temporal fine structure of an original channel can be reconstructed efficiently with high quality, when a generator for generating a direct signal component and a diffuse signal component based on the downmix channel is used. The quality can be essentially enhanced, if only the direct signal component is modified such that the temporal fine structure of the reconstructed output channel is fitting a desired temporal fine structure, indicated by the additional information on the temporal fine structure transmitted.

The present invention is based on the finding that a reconstructed output channel, reconstructed with a multi-channel reconstructor using at least one downmix channel derived by downmixing a plurality of original channels and using a parameter representation including additional information on a temporal fine structure of an original channel can be reconstructed efficiently with high quality, when a generator for generating a direct signal component and a diffuse signal component based on the downmix channel is used. The quality can be essentially enhanced, if only the direct signal component is modified such that the temporal fine structure of the reconstructed output channel is fitting a desired temporal fine structure, indicated by the additional information on the temporal fine structure transmitted.

A method of compressed sensing imaging includes acquiring a sparse digital image b, said image comprising a plurality of intensities corresponding to an I-dimensional grid of points, initializing points (x(k), y(k)), wherein x(k) is an element of a first expanded image x defined by b=RΦ−1x, wherein R is a Fourier transform matrix, Φ is a wavelet transform matrix, y(k) is a point in∂(∑i=1l(∇iΦ-1x(k))2)1 / 2,∇i is a forward finite difference operator for a ith coordinate, and k is an iteration counter; calculating a first auxiliary variable s(k) fromx(k)-τ1(αΦ∑nLn*yn(k)+ΦR*(RΦ-1x(k)-b)),wherein τ1,α are predetermined positive scalar constants, the sum is over all points n in x, and L* is an adjoint of operator L=(∇1, . . . , ∇I); calculating a second auxiliary variable tn(k) from yn(k)+τ2LnΦ−1x(k), wherein τ2 is a predetermined positive scalar constant; updating x(k+1) from sign(s(k))max{0,|s(k)|−τ1β}, wherein β is a predetermined positive scalar constant; and updating yn(k+1) frommin{1τ2,tn(k)2}tn(k)tn(k)2.

The invention provides a curve-welding-seam three-dimensional reconstruction method based on line structure light vision detection. By using the method, various kinds of welding seams can be effectively detected, reliability is high, the method is simple and detection efficiency is high. A mechanical arm and a line structure light vision system are included. A controller controls and is connected to the mechanical arm. The line structure light vision system comprises a camera and a line structure light projector. The camera is fixed to a tail end of the mechanical arm. The line structure light projector is fixed to one side of the camera and is projected to a surface of a workpiece to be welded. The curve-welding-seam three-dimensional reconstruction method comprises the steps of system calibration, welding seam detection and welding seam reconstruction so that a complete three-dimensional curve welding seam is reconstructed.

The invention discloses a video super-resolution reconstruction method based on a deep residual network. According to the method, a corresponding high-resolution image is reconstructed from a set of continuous low-resolution video frame images of a video sequence so that the video display effect can be obviously enhanced. The innovativeness of the video super-resolution algorithm is mainly reflected in two aspects: firstly, the initial stage, the series convolutional layer computation stage and the residual block computation stage are directly performed from the low-resolution video images by using the deep residual network and then the high-resolution video image is reconstructed by using the deconvolution and convolution operation mode gradually so that conventional preprocessing of bicubic interpolation does not need to be performed on the low-resolution video images; and secondly, compared with the most classic single frame and video super-resolution reconstruction method based on deep learning, the high-resolution video image can be effectively reconstructed in different environments under the condition of using few training data, and the video image display effect can be greatly enhanced.

Embodiments of the present invention disclose a technique for providing an indication whether data stored on a disk drive are invalid. As used herein, invalid data are data written prior to the disk drive being added to an array of the disk drives or data in a block that has become free and which has been removed from the corresponding parity block of the stripe. Knowing that the disk drive was written prior to the drive being added to the existing array or having data which has become invalid allows a storage server to ignore the invalid data and not to use it when computing parity (i.e., a data protection value computed as a result of a logical operation on data blocks in a stripe in the array of disk drives). This, in turn, eliminates the need to zero disk drives or to perform parity re-computation prior to using the disk drives.

A method for deriving an image sensor's 3D pose estimate from a 2D scene image input includes at least one Machine Learning algorithm trained a priori to generate a 3D depth map estimate from the 2D image input, which is used in conjunction with physical attributes of the source imaging device to make an accurate estimate of the imaging device 3D location and orientation relative to the 3D content of the imaged scene. The system may optionally employ additional Machine Learning algorithms to recognize objects within the scene to further infer contextual information about the scene, such as the image sensor pose estimate relative to the floor plane or the gravity vector. The resultant refined imaging device localization data can be applied to static (picture) or dynamic (video), 2D or 3D images, and is useful in many applications, most specifically for the purposes of improving the realism and accuracy of primarily static, but also dynamic Augmented Reality (AR) applications.

The invention discloses a three-dimensional image reconstruction method for the patterns of plant roots, which includes the following steps: shooting photos around the detected plant roots from each scheduled point of view; processing the photos to obtain the two-dimensional coordinates information of the pixel points which represents the plant roots in the photos, obtains the three-dimensional coordinates of all points corresponding to the pixel points which represents the plant roots on each shot photo according to the corresponding relation between the three-dimensional coordinate of a physical space and the two-dimensional coordinate of each image projection plane of the physical space; selects certain specific three-dimensional coordinates as the scene point coordinates of a three-dimensional image space and forms a three-dimensional image with binaryzation through the scene point coordinates. The invention also discloses a three-dimensional image reconstruction system for the patterns of plant roots. The invention has the advantages of high speed, high accuracy, etc., and can be used indoors and outdoors.

A storage system architecture comprises one or more volumes distributed across the plurality of nodes interconnected as a cluster. The volumes are organized as a striped volume set (SVS) and configured to store content of data containers served by the cluster in response to data access requests issued by clients. The content of each data container is apportioned among the volumes of the SVS to thereby improve efficiency and storage service provided by the cluster. Each data container is implemented on each of the volumes of the SVS as a sparse data container which stores data amongst sections of sparseness within the data container.

A video holographic display device includes a light source used to illuminate a hologram-bearing medium encoded with a hologram. The device operates so that only when an observer's eyes are positioned approximately at the image plane of the light source can the holographic reconstruction be seen properly. This contrasts with conventional holographic displays, in which the observer's eyes do not have to be at the image plane in order for a holographic reconstruction to be seen.

The invention discloses a super-resolution imaging system based on a compression coding aperture and an imaging method thereof, mainly solving a problem of expensive imaging cost in the prior art. The method comprises the following steps: designing a convolution template, and making a coding aperture according to coherence of a light source; placing the prepared coding aperture at a position of aperture diaphragm in an optical system and pressing a shutter for imaging, and obtaining a low resolution coding image; transmitting the coding image to a master control computer, decoding super-resolution to reconstruct a high-resolution image, and using a denoising algorithm to remove an artificial trace in the high-resolution image. The system and the method are characterized in that: restriction of a Nyquist criterion is broken through, low frequency sampling is carried out on a scene, the high-resolution image is obtained through super-resolution reconstruction, data waste caused by first sampling and second compression of a traditional imaging system is overcome, in sampling, data volume is compressed, imaging cost, compression cost and transmission cost are reduced, and the system and the method can be used for infrared imaging and remote sensing imaging technology.

A display device for computer generated holography can time sequentially re-encode a hologram on the hologram-bearing medium for the left and then the right eye of an observer. Conventional holograms do not have to time multiplex for the left and then the right eye because, at any one time, the view seen by the left eye differs from the right eye anyway.

A geometrical method for working out how to encode a hologram onto a hologram bearing medium is disclosed. The method involves (a) selecting a point on the three dimensional scene to be reconstructed; then (b) defining a virtual observer window through which the reconstructed three dimensional scene will be seen; then (c) tracing a pyramid from the edges of the observer window through the point and onto a region that forms only a portion of a hologram bearing medium; and finally (d) generating, solely in that region of the hologram-bearing medium, holographic information needed to generate a holographic reconstruction of the point.

A method of computing a hologram by determining the wavefronts at the approximate observer eye position that would be generated by a real version of an object to be reconstructed. In normal computer generated holograms, one determines the wavefronts needed to reconstruct an object; this is not done directly in the present invention. Instead, one determines the wavefronts at an observer window that would be generated by a real object located at the same position of the reconstructed object. One can then back-transform these wavefronts to the hologram to determine how the hologram needs to be encoded to generate these wavefronts. A suitably encoded hologram can then generate a reconstruction of the three-dimensional scene that can be observed by placing one's eyes at the plane of the observer window and looking through the observer window.

Embodiments of the present invention provide systems, devices and methods for managing skew within a polarized multi-channel optical transport system. In a DP-QPSK system, skew between polarized channels is compensated within the transport system by adding latency to at least one of the polarized channels. The amount of added latency may depend on various factors including the skew tolerance of the transport system and the amount of skew across the channels without compensation. This latency may be added optically or electrically, and at various locations on a channel signal path within a transport node, such as a terminal transmitter or receiver. Additionally, various embodiments of the invention provide for novel methods of inserting frame alignment bit sequences within the transport frame overhead so that alignment and skew compensation may be more efficiently and accurately performed at the transport receiver.

In a video hologram that enables a three dimensional scene to be reconstructed, a specific region in the hologram encodes information for a particular, single point in the reconstructed scene. This region is the only region in the hologram encoded with information for that point, and is restricted in size to form a portion of the entire hologram, the size being such that multiple reconstructions of that point caused by higher diffraction orders are not visible at the defined viewing position. This contrasts with conventional holograms, in which the information needed to reconstruct a given point is distributed across the entire hologram.

The invention relates to a non local joint sparse representation based hyperspectral image super-resolution reconstruction method. The method comprises: firstly, performing dictionary training on a low-spatial-resolution hyperspectral image with an online dictionary training method to obtain a corresponding spectral dictionary; secondly, performing joint sparse representation on similar pixel vectors by virtue of a full-color image of a same scene, and reconstructing a high-resolution image; and finally, processing the reconstructed high-resolution image by utilizing an iterative reverse projection technology to obtain a high-resolution hyperspectral image with smaller reconstruction error and higher visual quality. According to the method, the similar pixel vectors are subjected to non local joint sparse representation by utilizing the non local self-similarity property of the image, so that the visual quality of the reconstructed image is improved and structural features of edges, textures and the like of the image are reconstructed more effectively in an empty region while image spectral information is kept complete; and multiple wavebands of the hyperspectral image are subjected to sparse representation and reconstruction at the same time, so that the hyperspectral image with relatively high definition and identification degree can be reconstructed.

The invention belongs to a wetland vegetation modification method, and particularly relates to a method for reconstructing and recovering reed vegetation by transplanting reed roots. Simple steps and methods of transplanting reed roots, digging and collecting reed roots, leveling transplantation soil, transmitting and storing roots in moisture, cutting shorter root lengths in root transplantationaccording to the self bionomical characteristics of reed, fully burying the root segments underground for trench plantation and hole plantation, keeping the moisture state of the soil from the plantation to the emergence of seedlings, growing the reed under natural conditions are used to save root seedlings, improve the root propagation coefficient, save energy consumption and improve the work efficiency so as to achieve the aims of high-efficiency, rapid and asexual reconstruction, reed vegetation recovery and acquire favorable economic, social and biological benefits.

The invention discloses a mobile laser measurement point-based indoor structured three-dimensional reconstruction method. The mobile laser measurement point-based indoor structured three-dimensional reconstruction method comprises performing room division on the basis of a laser scanning point cloud evidence raster map; performing space division on the basis of vector wall projection line segments; structuring a vector room plan and an indoor three-dimensional model on the basis of vector-raster overlaying. The mobile laser measurement point-based indoor structured three-dimensional reconstruction method makes full use of semantic information and structured elements of indoor space, converts an indoor three-dimensional reconstruction problem into room division and GIS-based (geographic information system-based) overlaid analysis problems, takes divided rooms as prior knowledge to solve the problem of shading and in complete data of laser measurement during a modeling process and can rapidly and effectively structure an indoor building three-dimensional model with topological consistency. Compared with other methods, the mobile laser measurement point-based indoor structured three-dimensional reconstruction method can better process point cloud data of indoor complicated environment and meet the demands on indoor structuralized three-dimensional reconstruction.

A method of processing geological log data to construct missing information from destroyed or occluded parts using cues from observed data comprises the steps of: a. in respect of one or more data dimensions associated with missing values in a log data set, decomposing the signal into a plurality of morphological components; and b. morphologically reconstructing the signal such that missing values are estimated.

A method of compressed sensing imaging includes acquiring a sparse digital image b, said image comprising a plurality of intensities corresponding to an I-dimensional grid of points, initializing points (x(k), y(k)), wherein x(k) is an element of a first expanded image x defined by b=RΦ−1x, wherein R is a Fourier transform matrix, Φ is a wavelet transform matrix, y(k) is a point in∂(∑i=1l⁢(∇i⁢Φ-1⁢x(k))2)1 / 2,∇i is a forward finite difference operator for a ith coordinate, and k is an iteration counter; calculating a first auxiliary variable s(k) fromx(k)-τ1(αΦ⁢∑n⁢Ln*⁢yn(k)+Φ⁢⁢R*(R⁢⁢Φ-1⁢x(k)-b)),wherein τ1,α are predetermined positive scalar constants, the sum is over all points n in x, and L* is an adjoint of operator L=(∇1, . . . , ∇I); calculating a second auxiliary variable tn(k) from yn(k)+τ2LnΦ−1x(k), wherein τ2 is a predetermined positive scalar constant; updating x(k+1) from sign(s(k))max{0,|s(k)|−τ1β}, wherein β is a predetermined positive scalar constant; and updating yn(k+1) frommin⁢{1τ2,tn(k)2}⁢tn(k)tn(k)2.

A method to efficiently checkpoint and reconstruct an in-memory index associated with a log-structured object store includes enabling asynchronous write operations to occur to a log-structured object store. The log-structured object store utilizes an in-memory index to access objects therein. The method further enables checkpoint operations to occur to the log-structured object store without pausing the asynchronous write operations. When initiating checkpoint operations, the method establishes a “begin checkpoint” marker on the log-structured object store. This “begin checkpoint” marker is configured to point to an oldest known log location recorded in the in-memory index. In the event the in-memory index is lost, the method reconstructs the in-memory index by analyzing the log-structured object store starting from the oldest known log location. A corresponding system and computer program product are also disclosed and claimed herein.