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Course Level Date Clip# Line Interlocutor Content
Oral Assessments Graduate 2019-08-16 4 187 T02 so it's for combining two images↗
Oral Assessments Graduate 2019-08-16 4 188 S01 uh: that's one of the ta⌈sk
Oral Assessments Graduate 2019-08-16 4 189 T02 ⌊okay
Oral Assessments Graduate 2019-08-16 4 190 UNK (0.9)
Oral Assessments Graduate 2019-08-16 4 191 T02 mmkay
Oral Assessments Graduate 2019-08-16 4 192 UNK (1.1)
Oral Assessments Graduate 2019-08-16 4 193 S01 °any question°↗
Oral Assessments Graduate 2019-08-16 4 194 T02 mm→ hm↘
Oral Assessments Graduate 2019-08-16 4 195 S01 °alright° a:nd (0.7) uh (0.5) now we have an intuitive
Oral Assessments Graduate 2019-08-16 4 196 S01 view of what uh (.) corner detection is working
Oral Assessments Graduate 2019-08-16 4 197 UNK (0.5)
Oral Assessments Graduate 2019-08-16 4 198 S01 a:nd if we do like mathematically or quantitatively
Oral Assessments Graduate 2019-08-16 4 199 UNK (0.5)
Oral Assessments Graduate 2019-08-16 4 200 S01 uh we define the (0.6) window or the filter (.) as
Oral Assessments Graduate 2019-08-16 4 201 S01 a function (.) window function→ of x and y↘
Oral Assessments Graduate 2019-08-16 4 202 UNK (1.9)
Oral Assessments Graduate 2019-08-16 4 203 S01 a:nd (0.6) we have the image (.) intensity↘
Oral Assessments Graduate 2019-08-16 4 204 UNK (0.8)
Oral Assessments Graduate 2019-08-16 4 205 S01 let's say inside the original image
Oral Assessments Graduate 2019-08-16 4 206 UNK (0.4)
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