Image understanding: supervised learning: regression: total least-squares: line fitting

Learn Computer Vision: These lectures introduce the theoretical and practical aspects of computer vision from the basics of the image formation process in digital cameras, through basic image processing, space/frequency representations, and techniques for image analysis, recognition, and understanding.

[@sandrocavallari4640]

how do you generalize this model to a dataset that "don't pass through the origin" ? Do we need to "center" the data before using it ?

[@hanyfarid5019]

Yes, the data can be centered (i.e., zero meaned) by subtracting the mean of each component.

[@sandrocavallari4640]

@@hanyfarid5019 thanks, really appreciated. your video are really cool !!