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Takeo Kanade 教授席位
The Takeo Kanade Endowed Professorship
今年 8 月，卡耐基梅隆大学宣布设立 Takeo Kanade 教授席位，以纪念这位计算机视觉领域真正的开拓者之一。
这个教授席位是由一群老朋友和以前的学生赠送的 — Jing Xiao and Yu Li, Hongwen Kang, Yan Li and Chenyu Wu, Hua Zhong and Min Luo, Lie Gu and Yi Zhou, Mei Han and Wei Hua, Yanghai Tsin and Hongming Jin and Hang Su — 他们齐聚一堂，欲寻找一种有意义的方式来庆祝 Takeo Kanade 教授的成就。他们决定共同捐赠 Kanade 教授席，以表彰 Kanade 教授职业生涯的重要性以及他作为一名教师和导师如何改变了他们的人生轨迹。
Takeo Kanade 教授是卡耐基梅隆大学 U.A. and Helen Whitaker 计算机科学和机器人学大学教授。在他的职业生涯中，Kanade 教授发明、研究和发表了一些最重要的计算机视觉创作和理论，还开发了独特的机器人设备。 “Takeo 是计算机视觉和机器人领域的少数早期先驱之一。在过去的五年里，他的基础性贡献对进一步深入的研究领域产生了深远的影响，他在计算机视觉、自动驾驶汽车和医疗机器人等领域做出了开创性的贡献。” 计算机科学学院院长 Martial Hebert 如是说：“他在 1970 年代初期就开始影响计算机视觉领域，推动它从萌芽阶段发展到目前呈指数增长的水平。在卡耐基梅隆大学内部，Takeo 在将机器人学研究所从一个研究中心转变为一个设有独特研究生和本科项目的学术部门方面发挥了关键作用。”
Kanade 教授出生于日本兵库县，在京都学院 (Kyoto Institute) 获得电气工程博士学位，并在那里任教了七年。1980 年，他开始了在卡耐基梅隆大学长达 40 多年的任期。Kanade 教授因其工作赢得了无数奖项，包括著名的京都先进技术奖，该奖项旨在表彰那些为人类进步做出重大贡献的人。Kanade 教授还于 2008 年获得了富兰克林研究所 (Franklin Institute) 颁发的 Bower 奖和科学成就奖，并于 2007 年获得了大川奖 (Okawa Prize) 和 ACM-AAAI Allen Newell 奖。
20 世纪 70 年代，Kanade 教授使用他收集的面部图像库创建了第一个面部识别系统，该数据库可能是当时同类数据库中最大的。20 世纪 80 年代，Kanade 教授带领卡耐基梅隆大学研究人员团队开发了 NavLab，这是最早的自动驾驶汽车之一。两名卡耐基梅隆大学的研究人员驾驶这辆车行驶了 3,000 英里，从匹兹堡到达圣地亚哥。超过 98% 的行程由 NavLab 自主驾驶。
Kanade 教授最著名的发明是 EyeVision，是他为 CBS 设计和制造的，供 CBS 在 2001 年第 35 届 Super Bowl 比赛期间使用。为了进行广播，Kanade 教授和他的团队在坦帕 (Tampa) 的 Raymond James 体育场高处安装了一系列摄像机，并设计了计算机处理系统该系统将摄像机的输入合成为平滑、流动的图像，从而旋转节目的视角。Kanade 教授在中场休息时出现解释这项技术，他很可能是唯一一位出现在超级碗转播中的教授。 “在 EyeVision 出现之前，当我登上飞机并在飞行过程中与旁边的人交谈时，我会告诉他们我是卡耐基梅隆大学的一名教授，研究机器人技术，仅此而已。” Kanade 教授说。 “但是当我告诉人们我建立了 EyeVision 时，他们对此非常感兴趣。EyeVision 是一张与世界上任何人进行精彩对话的门票。”
1981 年，Kanade 教授与他当时的学生 Bruce Lucas 一起发现了一种算法，提供了一种视觉跟踪物体的新方法，即 Lucas-Kanade 方法。 “Bruce 说我们应该发表它，但我告诉他不能就此写论文，因为它是基于300 年前的数学：泰勒展开式 (Taylor Expansion)。” Kanade 教授说。Lucas 后来将该论文发表在第七届国际人工智能联合会议论文集上。Lucas-Kanade 方法成为该领域的形成工具，该论文已获得超过 18,000 次引用。
“这个故事只是要告诉你：尽管你的教授告诉你不能发表某些东西，但你可能还是想发表它。” Kanade 教授笑道。
78 岁的 Kanade 教授仍然对工作充满活力，并且保持着不断的好奇心。在最近的一次采访中，Kanade 教授用他特有的谦虚幽默讲述了他的成就，采访持续了近三个小时，在午夜后结束。阐述了计算机视觉的历史、认识论和技术的未来；并描述了未来的项目。他现在正在使用手机设计一种多摄像头技术，以便远程观看者可以虚拟地游览壮观的景点，这是他在参观泰姬陵时产生的想法。 “这是一个美丽、难以想象的地方。每个人都应该参观，但去那里并不容易。” Kanade 教授说。
Takeo Kanade 教授席位，不仅将成为 Kanade 教授杰出职业生涯的遗产，还将成为 Kanade 教授和他的同事在大学创造的创新精神和遗产。Kanade 教授表示：“我认为，说卡耐基梅隆大学计算机视觉小组在过去 40 年来一直是最先进和最有影响力的，这一点并不夸张。我们涵盖了一切，从理论到软件到技术和硬件。我们的多才多艺可能是我们真正的强项，我为此感到自豪。”

原文： https://magazine.cs.cmu.edu/takeo-kanade-professorship  
IN AUGUST, CARNEGIE MELLON UNIVERSITY ANNOUNCED THE CREATION OF THE TAKEO KANADE PROFESSORSHIP, IN HONOR OF ONE OF THE GENUINE TRAILBLAZERS IN THE FIELD OF COMPUTER VISION. 
The professorship is the gift of a group of longtime friends and former students — Jing Xiao and Yu Li, Hongwen Kang, Yan Li and Chenyu Wu, Hua Zhong and Min Luo, Lie Gu and Yi Zhou, Mei Han and Wei Hua, Yanghai Tsin and Hongming Jin and Hang Su — who came together to find a meaningful way to celebrate Takeo Kanade’s achievements. Their joint lead-gift for the Kanade Professorship recognizes the importance of Kanade’s career and how he changed the course of their lives as a teacher and mentor. 
Takeo Kanade is the U. A. and Helen Whitaker University Professor of Computer Science and Robotics. Over the course of his career, Kanade invented, worked on or published some of the most important creations and theories of computer vision, and also developed unique robotic devices. “Takeo is one of a few early pioneers in the fields of computer vision and robotics. Over the past five decades, his foundational contributions have had a profound impact on further reaching fields of study and he has made seminal contributions in areas ranging from computer vision and autonomous vehicles to medical robotics,” said Martial Hebert, dean of the School of Computer Science. “He shaped the field of computer vision from its infancy in the 1970s to its current level of exponential growth. Within CMU, Takeo has been instrumental in transforming the Robotics Institute from a research center into a full-fledged academic department with graduate and undergraduate programs that are unique.” 
Born in Hyogo, Japan, Kanade earned his doctorate in electrical engineering from the Kyoto Institute, and then taught there for seven years. In 1980, he began his more than 40-year tenure at Carnegie Mellon. Kanade has won numerous awards for his work, including the prestigious Kyoto Prize for Advanced Technology, which recognizes those who have made significant contributions to the betterment of humanity. Kanade has also won the Bower Award and Prize for Achievement in Science from the Franklin Institute in 2008, and both the Okawa Prize and the ACM-AAAI Allen Newell Award in 2007. 
In the 1970s, Kanade created one the first facial recognition systems, using a library of facial images he assembled that was likely the largest database of its kind at the time. In the 1980s, Kanade led a team of Carnegie Mellon researchers that developed NavLab, one of the earliest self-driving vehicles. Two Carnegie Mellon researchers took the vehicle 3,000 miles, from Pittsburgh to San Diego. NavLab drove more than 98% of the trip autonomously. 
Kanade’s most famous invention is EyeVision, which he designed and built for CBS to use during Super Bowl XXXV in 2001. For the broadcast, Kanade and his team mounted an array of cameras high up on Raymond James Stadium in Tampa, and designed a computer processing system that synthesized the inputs from the cameras into a smooth, flowing image that rotated the angle of the view of the play. Kanade appeared at halftime to explain the technology, and he may well be the only professor to appear on a Super Bowl broadcast. “Before EyeVision, when I got on a plane and talked to the person next to me during the flight, I’d tell them I was a professor at Carnegie Mellon working on robotics, and that was it,” said Kanade. “But when I told people I built EyeVision, they were very interested to hear about it. EyeVision was a ticket to wonderful conversations with anybody in the world.” 
In 1981 Kanade discovered, along with his then-student Bruce Lucas, an algorithm that provided a new way to track objects visually, the Lucas-Kanade Method. “Bruce said we should publish it, but I told him no, you can’t write a paper on this because it’s based on the Taylor Expansion, which is 300-year-old math,” Kanade said. Lucas placed the paper in the Proceedings of the 7th International Joint Conference on Artificial Intelligence. The Lucas-Kanade Method became a formative tool in the field, and the paper has garnered more than 18,000 citations. 
“It just goes to show you,” said Kanade, laughing, “that if your professor tells you not to publish something, you might want to publish it anyway.” 
At 78, Kanade is still a dynamo of energy for his work, and remains unceasingly curious. In a recent interview that went almost three full hours and ended well after midnight, Kanade recounted his achievements with his characteristic modest humor; expounded on the history of computer vision, epistemology and the future of technology; and, described future projects. He is now devising a multi-camera technology using mobile phones so remote viewers could tour a spectacular site virtually, an idea he had when visiting the Taj Mahal. “It’s a beautiful, unimaginable place. Everybody should visit, but it’s not easy to get to,” said Kanade. 
The Takeo Kanade Professorship will be a legacy not just to Kanade’s remarkable career, but to the spirit and legacy of innovation that Kanade and his colleagues have created at the university. “I don’t think it’s an overstatement to say that the Carnegie Mellon Computer Vision group, for the last 40 years, has been the most advanced and influential,” said Kanade. “We covered everything, from the theoretical to software to technology and hardware. Our versatility is probably our real forte, and I’m proud of that.”   
Source: https://magazine.cs.cmu.edu/takeo-kanade-professorship 
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