Sri International

David Berends

David Chao Zhang

Michael Raymond Piacentino

Michael Anthony Isnardi

Girish Acharya

Sek Meng Chai

Douglas A Bercow

John Benjamin Southall

Gooitzen Sieman Van Der Wal

Aaron Spaulding

Atsushi Homma

Noriyuki Kanehira

Tadahisa Tsuyama

Naohiko Fuse

Chiharu Yamaoka

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

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

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Skillman, NJ, United States of America

David Berends