Abstract:
Improved face tracking is provided during determination of an image by an imaging device using a low power face tracking unit. In one embodiment, image data associated with a frame and one or more face detection windows from a face detection unit may be received by the face tracking unit. The face detection windows are associated with the image data of the frame. A face list may be determined based on the face detection windows and one or more faces may be selected from the face list to generate an output face list. The output face list may then be provided to a processor of an imaging device for the detection of an image based on at least one of coordinate and scale values of the one or more faces on the output face list.
Abstract:
Packet format configurability is extended for packets transported on physical links of an Intellectual Property (IP) core interconnect by using at least two independent parameters: one parameter governing data-width and one parameter governing latency penalty. The at least two independent parameters allow creation of transport protocol packets without additional latency insertion, which is useful for low-latency applications. The at least two independent parameters also allow creation of narrow packets with multi-cycle additional latency, which is useful for latency tolerant, area sensitive applications.
Abstract:
Verification IPs for the verification of semiconductor chip designs are designed to support specific interface protocols. Verification IP is expensive or unavailable to test devices with interfaces of uncommon protocols. Verification IP that uses a generic interface protocol, used in conjunction with simple adapters between interfaces of the VIP that use the generic protocol and interfaces of the device under test that use specific protocols, are reused to test interfaces with different specific protocols if the generic protocol supports a superset of the features of the specific protocols.
Abstract:
Embodiments are directed towards performing depth estimation within a digital camera system based on interpolation of inverse focus statistics. After an image is captured, various statistics or focus measure may be calculated using, for example, a high pass filter. Depth is estimated by interpolating the inverse of the statistics for three positions of focus for the image. The inverse of the statistics, St(n), may be 1/St(n), or 1/St2(n), or even 1/StZ(n), where Z≧1. Several approaches to interpolating the inverse values of the statistics to obtain a depth estimate are disclosed, including a general parabolic minimum approach, using a parabolic minimum within a progressive scheme, or within a continuous AF scheme. The depth estimate may then be used for a variety of applications, including automatic focusing, as well as converting 2D images to 3D images.
Abstract:
A system and method are disclosed for connecting PCI-ordered agents based on fully independent networks. The system and method are free of PCI topology constraints, so that the system and method can be implemented in an inexpensive and scalable way. The method disclosed is used to handle and transport PCI-ordered traffic on a fabric. Based on the actual ordering requirement of the set of PCI agents, the fabric includes two, three, or four independent networks.
Abstract:
A coherency controller, such as one used within a system-on-chip, is capable of issuing different types of snoops to coherent caches. The coherency controller chooses the type of snoop based on the type of request that caused the snoops or the state of the system or both. By so doing, coherent caches provide data when they have sufficient throughput, and are not required to provide data when they do not have insufficient throughput.
Abstract:
Systems and techniques are described herein for adapting a pretrained machine learning model. For instance, a process can include encoding a training image into a first feature vector, the training image including a first object located at a first location; generating a second feature vector based on a set of sinusoidal functions using a set of weights; combining the first feature vector with a second feature vector to generate a combined feature vector; processing the combined feature vector using a visual language model to obtain a second location for the first object; and adjusting the set of weights based on a comparison between the first location and the second location.
Abstract:
A processor-implemented method includes obtaining, with a backbone artificial neural network, an original feature map of point cloud data. The method also includes deforming the point cloud data, with a deformation artificial neural network, into a number of deformed point cloud objects based on the original feature map of point cloud data. The method further includes combining the deformed point cloud objects into a mixed point cloud. The method still further includes extracting, with the backbone artificial neural network, a mixed feature map from the mixed point cloud. The method includes extracting a number of deformed feature maps from the deformed point cloud objects. The method still further includes computing, with a contrastive module, a loss for the backbone artificial neural network and for the deformation artificial neural network based on the mixed feature map and the deformed feature maps.
Abstract:
Bare die package with guard to reduce or prevent material seepage into an air cavity, and related fabrication methods. In exemplary aspects, to avoid or reduce material (e.g., an encapsulation material such as a mold material and/or a coating material) from entering or seeping into the air cavity in the active filter region of a filter, the die package includes a guard structure. The guard structure is a structure on or adjacent to the die operable to be used in a filter that redirects or reduces material from entering the gap between the die and the substrate. The guard structure reduces or prevents the material entering the air cavity of the die so as to avoid such material affecting the acoustic performance of the air cavity of the filter.
Abstract:
Image Signal Processing (ISP) optimization framework for computer vision applications is disclosed. The tuning of the ISP is performed automatically and presented as a nonlinear multi-objective optimization problem, followed by solving the problem using an evolutionary stochastic solver. An improved ISP of the embodiments of the invention includes at least features of search space reduction for reducing a number of ISP configurations, remapping the generated population to the reduced search space via mirroring, and global optimization function processing, which allow tuning all the blocks of the ISP at the same time instead of the prior art tuning of each ISP block separately. Also shown that an ISP tuned for image quality performs inferior compared with an ISP trained for a specific downstream image recognition task.