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Course Level Date Clip# Line Interlocutor Content
Oral Assessments Graduate 2019-08-16 4 127 S01 through the images we can construct many (.) patches
Oral Assessments Graduate 2019-08-16 4 128 S01 a- inside one picture
Oral Assessments Graduate 2019-08-16 4 129 S01 but only some of them are useful↘
Oral Assessments Graduate 2019-08-16 4 130 UNK (0.5)
Oral Assessments Graduate 2019-08-16 4 131 S01 uh like if we choose a patch here
Oral Assessments Graduate 2019-08-16 4 132 UNK (1.7)
Oral Assessments Graduate 2019-08-16 4 133 S01 this will be very distinct in terms of this object
Oral Assessments Graduate 2019-08-16 4 134 S01 but if we choose a patch here or like here
Oral Assessments Graduate 2019-08-16 4 135 UNK (1.1)
Oral Assessments Graduate 2019-08-16 4 136 S01 this'll basically the sa:me so they are bad patches
Oral Assessments Graduate 2019-08-16 4 137 S01 for matching problem
Oral Assessments Graduate 2019-08-16 4 138 UNK (0.7)
Oral Assessments Graduate 2019-08-16 4 139 S01 a:nd what the (.) corner detection (0.5) ☉do☉es
Oral Assessments Graduate 2019-08-16 4 140 S01 is to (0.5) have the most distinct and most
Oral Assessments Graduate 2019-08-16 4 141 S01 important (0.7) corner features that the picture will have
Oral Assessments Graduate 2019-08-16 4 142 UNK (0.4)
Oral Assessments Graduate 2019-08-16 4 143 S01 let's consider (0.6) uh ∇three things∇↘
Oral Assessments Graduate 2019-08-16 4 144 S01 ∆if we have a∆ corner like this (.) ∆everybody here∆↘
Oral Assessments Graduate 2019-08-16 4 145 UNK (0.5)
Oral Assessments Graduate 2019-08-16 4 146 S01 a:nd (0.6) the filter or the window willl have (0.4) uh