Important Dates

Fri. Sep. 9: First lecture.

Mon. Oct. 10: Thanksgiving.

Thu. Oct. 27: Co-Curricular (Halloween) days start.

Sun. Oct. 30: Co-Curricular (Halloween) days end.

Mon. Oct. 31: Review for midterm.

Wed. Nov. 2: Midterm.

Fri. Nov. 11: Last day to drop a course without receiving grade.

Fri. Dec. 2: Final exam review

Mon. Dec. 5: Last lecture, student project presentations.

Mon. Dec. 12: Final Exam 9:00am ACE 006

Lab Dates

Mon. Sep. 26: Introduction to the lab equipment and safety.

Mon. Oct. 17: First Lab assignment demo.

Mon. Nov. 7: Second Lab assignment demo and Project proposal.

Mon. Nov. 14: Midway progress report.

Mon. Dec. 5: Project demo.

Lecture Dates

Fri. Sep. 9: Introduction, syllabus, cameras.

Mon. Sep. 12: Lenses, aberrations and distortion

Wed. Sep. 14: Projection equations, camera coordinate system

Fri. Sep. 16: Rigid transformations

Mon. Sep. 19: Homogeneous coordinates, Calibration matrices, color perception

Wed. Sep. 21: Color representation, human eye.

Fri. Sep. 23: Color models.

Mon. Sep. 26: Intro to linear filters.

Wed. Sep. 28: Software environment in the lab.

Fri. Sep. 30: Edge effects of filtering, examples of filters.

Mon. Oct. 3: Filters for derivatives, separable filters.

Wed. Oct. 5: Gaussian filters, low-pass, band-pass and high-pass filters

Fri. Oct. 7: Fourier transform in 1-D, 2-D

Wed. Oct. 12: Sampling theorem, aliasing

Fri. Oct. 14: Cross correlation, simple pattern recognition.

Mon. Oct. 17: Geometry of hand-eye calibration

Wed. Oct. 19: Hand-eye calibration, least squares approach.

Fri. Oct. 21: Least squares, line fitting.

Mon. Oct. 24: Least squares, circle fitting, feature detection

Wed. Oct. 26: Corner detection

Mon. Oct. 31: Review of midterm.

Wed. Nov. 2: Midterm.

Fri. Nov. 4: Local image features.

Mon. Nov. 7: SIFT.

Wed. Nov. 9: Review of midterm answers.

Fri. Nov. 11: Geometry of structure from motion and stereo.

Mon. Nov. 14: Solving for structure from motion.

Wed. Nov. 16: Ambiguities in the epipolar contraint.

Fri. Nov. 18: Feature matching

Mon. Nov. 21: Optical flow equation and assumptions.

Wed. Nov. 23: Least squares formulation for optical flow.

Fri. Nov. 25: Lucas and Kanade algorithm.

Mon. Nov. 28: Smoothness constraints

Wed. Nov. 30: Regularization.

Fri. Dec. 2: Final Exam review.

Mon. Dec. 5: Student presentations.

Last Modified: Nov 21 2016