Guidong Yang

Title: Guidong Yang: Innovator in 3D Reconstruction Technology

Introduction

Guidong Yang is a prominent inventor based in Hong Kong, CN. He has made significant contributions to the field of 3D image reconstruction through his innovative patent. His work focuses on utilizing deep learning networks to enhance the accuracy and efficiency of reconstructing three-dimensional images from two-dimensional inputs.

Latest Patents

Guidong Yang holds a patent titled "Multi-view stereo with learnable cost metric for 3D reconstruction." This invention involves a deep learning network capable of performing 3D image reconstruction from multi-view calibrated 2D images. The network employs a convolutional neural network for feature extraction, generating feature pyramids that correspond to various levels of resolution. These feature pyramids are instrumental in computing a cost volume for each pyramid, incorporating a learnable parameter that assigns weights to the reference feature pyramid relative to others. Ultimately, a depth map for each input image is generated based on the cost volume.

Career Highlights

Guidong Yang is associated with the Hong Kong Centre for Logistics Robotics Limited, where he applies his expertise in robotics and image processing. His innovative approach to 3D reconstruction has positioned him as a key figure in advancing technology in this domain.

Collaborations

Guidong Yang has collaborated with notable colleagues, including Ben M Chen and Chuanxiang Gao. Their combined efforts contribute to the ongoing research and development in the field of logistics and robotics.

Conclusion

Guidong Yang's contributions to 3D reconstruction technology through his innovative patent demonstrate his commitment to advancing the field. His work not only enhances the capabilities of image processing but also paves the way for future innovations in robotics and logistics.