Sheldon Fernandes

Title: Innovations by Inventor Sheldon Fernandes

Introduction

Sheldon Fernandes is an accomplished inventor based in San Jose, CA. He holds a total of 5 patents that showcase his expertise in the field of machine learning and camera technology. His innovative work has contributed significantly to advancements in synthetic image generation and 3D camera calibration.

Latest Patents

One of his latest patents is focused on generating synthetic image data for machine learning. This invention describes systems and methods for creating synthetic images, depth information, and optical flow data. The embodiments of this invention assemble image scenes from virtual objects and capture realistic perspectives of these scenes as synthetic images. The realistic perspectives are defined by camera views created from camera settings files. To simulate the capture performance of smartphone cameras, stereo cameras, and other actual camera devices, the capture, calibration, and camera intrinsic parameters included in the camera settings files are identical to those in actual cameras. The synthetic image datasets generated by these systems and methods are utilized to train machine learning systems, which in turn generate machine learning models for performing computer vision tasks.

Another significant patent by Fernandes involves 3D camera calibration for adjustable camera settings. This invention describes calibration and rectification systems and methods for 3D cameras. The calibration methods derive calibration parameters in real time for multiple camera settings. These parameters are used to rectify stereo images as part of a process for creating 3D images, videos, and virtual or augmented reality experiences. Additionally, multi-camera systems for implementing the calibration and rectification methods are disclosed. The 3D camera calibration methods involving a limited number of calibration points reduce the cost and complexity of conventional calibration methods while allowing for higher-performing 3D cameras with various configurations of camera settings.

Career Highlights

Throughout his career, Sheldon Fernandes has made significant contributions to the fields of machine learning and camera technology. His innovative patents reflect his commitment to advancing these technologies and improving their applications in various industries.

Collaborations

Some of his notable coworkers include Adam S Rowell and Han Xiong Jin. Their collaborative efforts have further enhanced the impact of Fernandes' inventions.

Conclusion

Sheldon Fernandes is a prominent inventor whose work in synthetic image generation and 3D camera calibration has made a lasting impact on technology. His contributions continue to influence advancements in machine learning and imaging systems.