Course Lecture Notes
chapt.1 Introduction
chapt.2 Computer Graphics Hardware
Course Schedule
Time:Friday 10:00AM-11:40AM
Duration:Week 1 to Week 16
Location: 东中院(Dong Zhong yuan)3-303
Office hours:Friday 14:00 pm to 15:00 pm
Course Projects
From now on, the latest news will be launched in the "Latest News" sidebar ======>
本次计算机图形学课将首次采用大作业为主的形式进行考核，我们鼓励大家选择推荐项目进行大作业，但同时允许大家进行自选课题。
由于大家学习效果评价主要依赖于推荐项目，其项目设定主要基于三点考虑：
1. 课题内容范围从内容和形式都是助教比较熟悉的内容，可以给与较好的指导。
2. 推荐项目范围固定，这样对相关课题小组的工作的成果和实际工作量可以进行准确评估，使得学生成绩的评定更客观公正，
Reference Books
All of the reference books are only for studying purpose,please do not use it for commercial purpose
Reference Books for downloading
Course Grading
Quizes: 30%
Course project: 70% The grade of course projects will be the practice course grade.
Projects List
List of Proposed Final Projects (PDF)
21. Efficient Deep Learning for Stereo Matching
22. Theory and Practice of Structure-from-Motion using Affine Correspondences
23. Weakly supervised object boundaries
24. Face Alignment Across Large Poses
25. Deep Interactive Object Selection
26. Learning Relaxed Deep Supervision for Better Edge Detection
27. Two Illuminant Estimation and User Correction Preference
28. Connecting Images and Natural Language
29. Multiview Image Completion with Space Structure Propagation
30. Situation Recognition: Visual Semantic Role Labeling for Image Understanding
31. Shallow and Deep Convolutional Networks for Saliency Prediction
32. Video-Story Composition via Plot Analysis
33. Efficient 3D Room Shape Recovery from a Single Panorama
34. Field Model for Repairing 3D Shapes
35. Efficiently Creating 3D Training Data for Fine Hand Pose Estimation
36. Temporal Multimodal Learning in Audiovisual Speech Recognition
37. Multi-Oriented Text Detection with Fully Convolutional Networks
38. Structure from Motion with Objects
39. Convolutional Pose Machines
40. Using Deep Learning for Pulmonary Nodule Detection & Diagnosis
For Further details click here. (PDF)
Students can select a project of their own choice too but the project should be relevent to the course.
Students can do project individually or in a group of three students.
Bonus: 5 points (for Research paper submission in Journal/Conference) on your final scores.
The template for Final Report is available here