Sri International

Michael Raymond Piacentino

David Chao Zhang

John Robertson Tower

Sek Meng Chai

Michael Anthony Isnardi

Gooitzen Sieman Van Der Wal

David Berends

Peter Alan Levine

Peter Jeffrey Burt

Girish Acharya

Douglas A Bercow

Aswin Nadamuni Raghavan

John Benjamin Southall

Aaron Spaulding

Thomas Lee Vogelsong

Tadahisa Tsuyama

Chiharu Yamaoka

Naohiko Fuse

Atsushi Homma

Noriyuki Kanehira

Method and apparatus of processing a sequence of video frames comprising generating at least one video frame and using an analog neural network to select, within the at least one video frame, at least one patch of pixels and process the at least one pixel patch to produce a patch feature for each of the at least one pixel patches. The method digitizes the patch feature, identifies objects within the digitized patch feature, and tracks the objects to generate control information that is used by the analog neural network to select and process the pixel patches.

Video processor capable of in-pixel processing

Modules and control units cooperate to simultaneously and independently control and adjust pixel parameters non-uniformly at regional increments across an entire image captured in an image frame by pixels in a pixel array. Pixel parameter changes for pixels in a given region occur, based on i) a contextual understanding of what contextually was happening in the one or more prior image frames and ii) whether salient items are located within that region. Additionally, guidance is sent to the sensor control unit to i) increase or decrease pixel parameters within those regions with salient items and then either to i) maintain, ii) increase or iii) decrease pixel parameters within regions without salient items in order to stay within any i) bandwidth limitations ii) memory storage, and/or iii) power consumptions limitations imposed by 1) one or more image sensors or 2) the communication loop between the sensor control unit and the image processing unit.

Methods for enhanced imaging based on semantic processing and dynamic scene modeling

A method, apparatus and system for enhanced welding visualization include splitting incoming light from the welding environment into at least a first optical path and a second optical path having different light levels using at least one beam splitter. Images of the split light having different light levels are captured using a respective imaging sensor. The images from the respective imaging sensors are fused to create a left-eye fused image and a right-eye fused image. The left-eye fused image is displayed on a display at a location of a left eye of a user and the right-eye fused image is displayed on a display at a location of a right eye of the user to provide a parallax-free, high dynamic range, representation of the welding environment.

HDR image capture and display system for enhanced real-time welding visualization and assistance

Systems, Methods, and Apparatuses for an image sensor and a control system to cooperate with each photodiode in individual pixels to allow multiple pixels in a set of pixels to operate in a different imaging-mode of operation simultaneously within multiple window regions of the image. The image sensor has multiple window regions each capable of operating in different operating modes. Each pixel contains multiple photodiodes. The imager is fabricated with an additional semiconductor layer containing one or more metallization layers for interconnections and providing active CMOS circuits for control.

Multiple window, multiple mode image sensor

Device logic in a mobile device configures a processor to capture a series of images, such as a video, using a consumer-grade camera, and to analyze the images to determine the best-focused image, of the series of images, that captures a region of interest. The images may be of a textured surface, such as facial skin of a mobile device user. The processor sets a focal length of the camera to a fixed position for collecting the images. The processor may guide the user to position the mobile device for capturing the images, using audible cues. For each image, the processor crops the image to the region of interest, extracts luminance information, and determines one or more energy levels of the luminance via a Laplacian pyramid. The energy levels may be filtered, and then are compared to energy levels of the other images to determine the best-focused image.

Selecting optimal image from mobile device captures

A method and apparatus for optimizing image quality based on scene content comprising a sensor for generating a sequence of frames where each frame in the sequence of frames comprises content representing a scene and a digital processor, coupled to the sensor, for performing scene content analysis and for establishing a window defining a number of input frames from the sensor and processed output frames, and for aligning and combining the number of frames in the window to form an output frame, wherein sensor parameters and frame combination parameters are adjusted based on scene content.

Method and apparatus for optimizing image quality based on scene content

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Robbinsville, NJ, United States of America

Michael Raymond Piacentino