Jianteng Peng

Title: Jianteng Peng: Innovator in Object Recognition Technologies

Introduction

Jianteng Peng, an accomplished inventor based in Beijing, China, has made significant strides in the field of object recognition. His innovative approaches are paving the way for advancements in how machines interpret visual information, making processes more efficient and accurate.

Latest Patents

Jianteng holds a notable patent for an "Object recognition method and apparatus." This invention includes a template determining apparatus featuring an attribute distribution determination unit. This unit is designed to assess the distribution of specific attributes across a variety of images. Additionally, it encompasses a template determination unit that adaptively curates a template set from these images based on the established distribution of specific attributes. The determined template set plays a vital role in image normalization, enhancing the performance of machine learning systems in recognizing objects.

Career Highlights

Currently, Jianteng is employed at Canon Kabushiki Kaisha, a leading company renowned for its innovative imaging solutions. His contributions have been pivotal in advancing the company’s technological edge in the realm of object recognition.

Collaborations

Throughout his career, Jianteng has had the privilege of collaborating with esteemed colleagues, including Yaohai Huang and Weihong Deng. These partnerships have fostered a creative environment that encourages the exchange of ideas and innovative thinking, which is essential for breakthroughs in technology.

Conclusion

Jianteng Peng exemplifies the spirit of innovation in the field of object recognition, with his groundbreaking patent highlighting his expertise and commitment to advancing technology. His work at Canon and collaborations with fellow inventors reflect a dedication to enhancing image processing capabilities, which will undoubtedly have a lasting impact on various industries that rely on effective object recognition solutions.