Yuanhua Qiao

Title: Innovations of Yuanhua Qiao in 3D Saliency Modeling

Introduction

Yuanhua Qiao is a notable inventor based in Beijing, China. He has made significant contributions to the field of 3D saliency modeling. His innovative approach combines prior knowledge and depth weight to enhance the understanding of 3D images.

Latest Patents

Yuanhua Qiao holds a patent for the "Establishment method of 3D saliency model based on prior knowledge and depth weight." This method involves dividing the left view of a 3D image pair into multiple regions using a super-pixel segmentation method. It synthesizes a set of features that include color and disparity information to describe each region. The process utilizes color compactness as a weight for disparity in the region feature component. It calculates the feature contrast of a region in relation to surrounding regions. The method also obtains background prior on the depth of the disparity map and improves depth saliency by combining the background prior with color compactness. The initial 3D saliency is obtained by adding the weight of the feature contrast, and it is further enhanced by 2D saliency and central bias weight.

Career Highlights

Yuanhua Qiao is affiliated with the Beijing University of Technology, where he continues to advance his research in 3D imaging technologies. His work has garnered attention for its innovative approach to saliency modeling.

Collaborations

Yuanhua Qiao collaborates with esteemed colleagues such as Lijuan Duan and Fangfang Liang. Their combined expertise contributes to the advancement of research in their field.

Conclusion

Yuanhua Qiao's contributions to 3D saliency modeling demonstrate his innovative spirit and commitment to advancing technology. His patent reflects a significant step forward in understanding and processing 3D images.