このコースについて
4.4
446件の評価
117件のレビュー

次における6の4コース

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

中級レベル

約29時間で修了

推奨:4 weeks of study, 3-5 hours/week...

英語

字幕:英語

習得するスキル

Computer VisionEstimationRandom Sample Consensus (Ransac)Geometry

次における6の4コース

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

中級レベル

約29時間で修了

推奨:4 weeks of study, 3-5 hours/week...

英語

字幕:英語

シラバス - 本コースの学習内容

1
7時間で修了

Geometry of Image Formation

Welcome to Robotics: Perception! We will begin this course with a tutorial on the standard camera models used in computer vision. These models allow us to understand, in a geometric fashion, how light from a scene enters a camera and projects onto a 2D image. By defining these models mathematically, we will be able understand exactly how a point in 3D corresponds to a point in the image and how an image will change as we move a camera in a 3D environment. In the later modules, we will be able to use this information to perform complex perception tasks such as reconstructing 3D scenes from video....
15件のビデオ (合計180分), 1 reading, 9 quizzes
15件のビデオ
Camera Modeling10 分
Single View Geometry14 分
More on Perspective Projection8 分
Glimpse on Vanishing Points10 分
Perspective Projection I14 分
Perspective Projection II14 分
Point-Line Duality8 分
Rotations and Translations18 分
Pinhole Camera Model10 分
Focal Length and Dolly Zoom Effect8 分
Intrinsic Camera Parameter13 分
3D World to First Person Transformation13 分
How to Compute Intrinsics from Vanishing Points12 分
Camera Calibration11 分
1件の学習用教材
Setting up MATLAB10 分
8の練習問題
Introduction14 分
Vanishing Points10 分
Perspective Projection10 分
Rotations and Translations14 分
Dolly Zoom4 分
Feeling of Camera Motion6 分
How to Compute Intrinsics from Vanishing Points4 分
Camera Calibration6 分
2
5時間で修了

Projective Transformations

Now that we have a good camera model, we will explore the geometry of perspective projections in depth. We will find that this projection is the cause of the main challenge in perception, as we lose a dimension that we can no longer directly observe. In this module, we will learn about several properties of projective transformations in depth, such as vanishing points, which allow us to infer complex information beyond our basic camera model....
5件のビデオ (合計69分), 5 quizzes
5件のビデオ
Compute Projective Transformations13 分
Projective Transformations and Vanishing Points6 分
Cross Ratios and Single View Metrology13 分
Two View Soccer Metrology11 分
4の練習問題
Homogeneous Coordinates10 分
Projective Transformations8 分
Vanishing Points8 分
Cross Ratios and Single View Metrology8 分
3
6時間で修了

Pose Estimation

In this module we will be learning about feature extraction and pose estimation from two images. We will learn how to find the most salient parts of an image and track them across multiple frames (i.e. in a video sequence). We will then learn how to use features to find the position of the camera with respect to another reference frame on a plane using Homographies. We will also learn about how to make these techniques more robust, using least squares to hand noisy feature points or RANSAC to remove completely erroneous feature points....
8件のビデオ (合計126分), 6 quizzes
8件のビデオ
Singular Value Decomposition30 分
RANSAC: Random Sample Consensus I13 分
Where am I? Part 116 分
Where am I? Part 213 分
Pose from 3D Point Correspondences: The Procrustes Problem9 分
Pose from Projective Transformations8 分
Pose from Point Correspondences P3P10 分
5の練習問題
Visual Features12 分
Singular Value Decomposition16 分
RANSAC6 分
3D-3D Pose2 分
Pose Estimation8 分
4
8時間で修了

Multi-View Geometry

Now we will use what we learned from two view geometry and extend it to sequences of images, such as a video. We will explain the fundamental geometric constraints between point features in images, the Epipolar constraint, and learn how to use it to extract the relative poses between multiple frames. We will finish by combining all this information together for the application of Structure from Motion, where we will compute the trajectory of a camera and a map throughout many frames and refine our estimates using Bundle adjustment....
14件のビデオ (合計221分), 5 quizzes
14件のビデオ
Epipolar Geometry II14 分
Epipolar Geometry III24 分
RANSAC: Random Sample Consensus II6 分
Nonlinear Least Squares I3 分
Nonlinear Least Squares II6 分
Nonlinear Least Squares III13 分
Optical Flow: 2D Point Correspondences19 分
3D Velocities from Optical Flow16 分
3D Motion and Structure from Multiple Views18 分
Visual Odometry19 分
Bundle Adjustment I17 分
Bundle Adjustment II18 分
Bundle Adjustment III17 分
4の練習問題
Epipolar Geometry24 分
Nonlinear Least Squares12 分
3D Velocities from Optical Flow6 分
Bundle Adjustment10 分
4.4
117件のレビューChevron Right

38%

コース終了後に新しいキャリアをスタートした

33%

コースが具体的なキャリアアップにつながった

10%

昇給や昇進につながった

人気のレビュー

by SKApr 1st 2018

Outstanding Course! I could always count on Prof.Jianbo to crunch some of the most complex and confusing parts of the course into a much easier understandable language.

by LRJan 1st 2019

This is quite challenging course. So far, this is the course with the largest amount of material, I wish the class will be split into two courses.

講師

Avatar

Kostas Daniilidis

Professor of Computer and Information Science
School of Engineering and Applied Science
Avatar

Jianbo Shi

Professor of Computer and Information Science
School of Engineering and Applied Science

ペンシルベニア大学(University of Pennsylvania)について

The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies. ...

ロボット工学の専門講座について

The Introduction to Robotics Specialization introduces you to the concepts of robot flight and movement, how robots perceive their environment, and how they adjust their movements to avoid obstacles, navigate difficult terrains and accomplish complex tasks such as construction and disaster recovery. You will be exposed to real world examples of how robots have been applied in disaster situations, how they have made advances in human health care and what their future capabilities will be. The courses build towards a capstone in which you will learn how to program a robot to perform a variety of movements such as flying and grasping objects....
ロボット工学

よくある質問

  • 修了証に登録すると、すべてのビデオ、テスト、およびプログラミング課題(該当する場合)にアクセスできます。ピアレビュー課題は、セッションが開始してからのみ、提出およびレビューできます。購入せずにコースを検討することを選択する場合、特定の課題にアクセスすることはできません。

  • コースに登録する際、専門講座のすべてのコースにアクセスできます。コースの完了時には修了証を取得できます。電子修了証が成果のページに追加され、そこから修了証を印刷したり、LinkedInのプロフィールに追加したりできます。コースの内容の閲覧のみを希望する場合は、無料でコースを聴講できます。

さらに質問がある場合は、受講者向けヘルプセンターにアクセスしてください。