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Course Level Date Clip# Line Interlocutor Content
Oral Assessments Graduate 2019-08-16 4 67 S01 a:nd considering you have (.) two pictures of the same object
Oral Assessments Graduate 2019-08-16 4 68 S01 they're not uh (0.9) ↑they're not (.) uh exactly the same
Oral Assessments Graduate 2019-08-16 4 69 S01 due to the motion of the object or the change of the viewpoint
Oral Assessments Graduate 2019-08-16 4 70 S01 so if ↑you are going to match the two pictures
Oral Assessments Graduate 2019-08-16 4 71 S01 or you want to combine them together
Oral Assessments Graduate 2019-08-16 4 72 S01 uh you have to (.) u::h consider the feature points
Oral Assessments Graduate 2019-08-16 4 73 S01 that's inside the two (.) pictures and match them
Oral Assessments Graduate 2019-08-16 4 74 UNK (0.6)
Oral Assessments Graduate 2019-08-16 4 75 S01 for this matching problem→ u:h there's (.)
Oral Assessments Graduate 2019-08-16 4 76 S01 a lot of work have been done
Oral Assessments Graduate 2019-08-16 4 77 S01 and the most basic one is the corner detection
Oral Assessments Graduate 2019-08-16 4 78 UNK (0.7)
Oral Assessments Graduate 2019-08-16 4 79 S01 a corner as it's mentioned (0.8) is kind of
Oral Assessments Graduate 2019-08-16 4 80 S01 a feature that (.) consists of a (1.3) junction
Oral Assessments Graduate 2019-08-16 4 81 S01 of tools or something like that→
Oral Assessments Graduate 2019-08-16 4 82 S01 °and there's a corner we have°
Oral Assessments Graduate 2019-08-16 4 83 UNK (0.8)
Oral Assessments Graduate 2019-08-16 4 84 S01 u:h (0.7) if we have a picture like this→
Oral Assessments Graduate 2019-08-16 4 85 S01 let's see if it's a house→
Oral Assessments Graduate 2019-08-16 4 86 UNK (6.9)
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