Takeo Kanade, a 78-year-old researcher from Japan, has been devoted to the field of artificial vision for over four decades. A pioneer in this scientific discipline, he has developed essential algorithms such as the Lucas-Kanade method with Bruce Lucas that enable computers and robots to comprehend moving images. His work has had a significant impact on various fields, including robotic surgery, autonomous driving, and facial recognition.
Kanade received his doctorate in Electrical Engineering from Kyoto University in 1974 and discovered his love for engineering at a young age when he made his own fishing hook at the age of 5. He currently serves as a professor of Computer Science and Robotics at Carnegie Mellon University in the USA and was the founder of the Technology Center for Quality of Life from 2006 to 2012.
In a recent interview, Kanade discusses his belief that robotic vision may one day exceed human vision. While computers are already more proficient than humans in some aspects, such as facial recognition, he notes that humans still have an edge when it comes to understanding complex situations. Kanade talks about the future of technology and the challenges of developing virtualized realities and preventing misuse of technologies like deepfakes.
Kanade continues to explore ways in which computer vision can improve the quality of life for individuals with disabilities. He emphasizes the importance of creating technologies that enhance independence and connectivity for people with disabilities. Kanade also discusses how his work has contributed to advancements in surgical precision, using sensors and image recognition in robot-assisted surgeries.
Despite potential risks and ethical concerns surrounding emerging technologies, Kanade remains optimistic about their positive impact on society. He stresses the importance of using technology ethically and responsibly to ensure that it benefits humanity rather than causing harm or exploitation. Currently, Kanade is focused on developing technologies that empower individuals and improve their quality of life through collaborations with robots and AI systems.
Takeo Kanade is a renowned researcher who has dedicated himself to advancing artificial vision technology for over four decades. With his expertise in this field, he has developed algorithms such as the Lucas-Kanade method that have helped computers comprehend moving images more accurately than ever before. His contributions have had a significant impact on various fields such as robotics surgery, autonomous driving, facial recognition, among others.
Kanade’s passion for engineering began at an early age when he made his own fishing hook at just five years old. After completing his doctorate in Electrical Engineering from Kyoto University in 1974, Kanade went on to become a professor of Computer Science and Robotics at Carnegie Mellon University in Pittsburgh.
During a recent interview with me, Kanade shared his views on how robotic vision may one day surpass human vision entirely.
“There are aspects where computers are already more proficient than humans,” said Kanade during our conversation.
“However,” he continued, “humans still possess an edge when it comes to understanding complex situations.”
When asked about what challenges lie ahead for technology development, Kanade highlighted two areas: virtualized realities and preventing misuse of deepfakes.
“The development of virtualized realities presents both opportunities and challenges,” said Kanadae.
“On one hand,” he explained “it could revolutionize education by providing immersive learning experiences.”
“On the other hand,” he warned “it could be used nefariously by governments or corporations to manipulate public opinion or control information.”
