Leqing Zhu

Title: Leqing Zhu: Innovator in Stereoscopic Video and Depth Estimation Technologies

Introduction

Leqing Zhu is a prominent inventor based in Zhejiang, China. He has made significant contributions to the fields of video technology and depth estimation. With a total of 2 patents, his work focuses on enhancing visual experiences through innovative methods.

Latest Patents

One of Leqing Zhu's latest patents is a "Stereoscopic video generation method based on 3D convolution neural network." This method allows for the conversion of existing 2D video sources into stereoscopic videos. The process involves preparing training data, segmenting video sources into left and right eye view sequences, and utilizing a trained 3D convolution neural network to generate the right eye view images. The final output is a combined stereoscopic video that enhances viewer experience.

Another notable patent is the "Depth estimation method for monocular image based on multi-scale CNN and continuous CRF." This invention employs a CRF module to calculate unary potential energy from the output depth map of a deep convolutional neural network (DCNN). By integrating optimization theories of multi-scale CNN with continuous CRF, this method achieves high accuracy and clear contours in the estimated depth map, providing better visual effects.

Career Highlights

Leqing Zhu is affiliated with Zhejiang Gongshang University, where he continues to advance his research and development in video technologies. His academic background and innovative mindset have positioned him as a key figure in his field.

Collaborations

Leqing Zhu has collaborated with notable colleagues, including Xun Wang and Huiyan Wang. Their joint efforts contribute to the advancement of technology in video processing and depth estimation.

Conclusion

Leqing Zhu's innovative work in stereoscopic video generation and depth estimation showcases his commitment to enhancing visual technology. His contributions are paving the way for future advancements in the field.