Bingcai Zhang

Title: The Innovative Contributions of Bingcai Zhang

Introduction

Bingcai Zhang is a notable inventor based in San Diego, CA, who has made significant contributions to the field of deep learning and image processing. With a focus on object detection and change detection in stereo images, Zhang has developed innovative methods that enhance the accuracy and efficiency of these technologies. He holds 2 patents that reflect his expertise and dedication to advancing the field.

Latest Patents

Zhang's latest patents include "Rotation Variant Object Detection in Deep Learning" and "Inverse Stereo Image Matching for Change Detection." The first patent presents a system and method for detecting objects in geospatial images, 3D point clouds, and Digital Surface Models (DSMs). This method utilizes Deep Convolution Neural Networks (DCNNs) trained with positive and negative examples. By employing a rotation pattern match of only positive examples, the method reduces the number of negative examples required. The softmax probability in DCNNs varies with rotation angles, achieving maximum values when the rotation angle aligns with the object's orientation. During training, positive examples are rotated to zero orientation angles, while test images are rotated through various angles to compute softmax probabilities. The final object detection relies on the maximum softmax probability and a pattern match between the softmax probability patterns of all positive examples and the target object.

The second patent, "Inverse Stereo Image Matching for Change Detection," introduces a method for identifying real terrain matches in a stereo image pair. This method involves performing epipolar rectification on a stereo image pair to produce rectified image data. A hybrid stereo image matching technique is then applied to generate image matching data, leading to the creation of a digital surface model (DSM). The method identifies areas in the DSM where stereo image matching may fail, allowing for the determination of real terrain changes based on predicted failures and image matching data.

Career Highlights

Bingcai Zhang has worked with prominent companies such as BAE Systems Information Solutions Inc. and BAE Systems Information and Electronic Systems Integration Inc. His experience in these organizations has contributed to his development as an inventor and researcher in the field of technology.

Collaborations

Zhang has collaborated with various professionals, including his coworker Michael Walter, to further enhance his research and innovations.

Conclusion

Bingcai Zhang's contributions to deep learning and image