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Optimized Corner and Object Detection: a Completely Non Unified Approach
Published on Apr 03, 20142288 Views
Many problems in computer vision involve optimization. Choosing what to optimize can be difficult; firstly because optimization of the appropriate objective may be intractably difficult and secondly b
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Chapter list
Optimised object decection: a completely non-unified approach00:00
Detecting stuff00:12
Object detection - 102:34
Object detection - 202:56
Object detection - 303:06
Object detection: difficulties05:27
What is object detection? - 107:39
What is object detection? - 209:21
An optimized bag of hacks - 111:02
An optimized bag of hacks - 211:41
An optimized bag of hacks - 312:18
An optimized bag of hacks - 412:58
Spatial boosting - 115:31
Spatial boosting - 217:22
Spatial boosting - 317:42
Spatial boosting - 418:39
Spatial boosting - 519:12
Spatial boosting - 619:37
Spatial boosting - 721:00
Does it work?23:27
Fluorescence microscopy in one slide - 125:30
Fluorescence microscopy in one slide - 226:03
Fluorescence microscopy in one slide - 326:19
Fluorescence microscopy in one slide - 426:23
Fluorescence microscopy in one slide - 526:30
Fluorescence microscopy in one slide - 627:03
Localisation microscopy - 127:35
Localisation microscopy - 228:35
Localisation microscopy - 328:44
Localisation microscopy - 428:45
Localisation microscopy - 528:46
Localisation microscopy - 628:47
Localisation microscopy - 728:48
More realistic data28:49
Bayesian analysis of Blinking and Bleaching (3B)29:19
Bayesian analysis - 130:37
Bayesian analysis - 232:02
Results: first, some biology (Podosomes) - 133:48
Results: first, some biology (Podosomes) - 235:08
Results: first, some biology (Podosomes) - 335:14
Results: first, some biology (Podosomes) - 435:29
Results: first, some biology (Podosomes) - 535:53
Live cells: truly awful data36:16
What is corner detection?37:52
FAST-ER: Enhanced Repeatability39:57
FAST: features from accelerated segment test40:29
FAST-ER: Enhanced Repeatability40:58
Results: Perspective (box) dataset43:04
Results: datasets44:34
Aggregate results44:36
Conclusions45:09
Acknowledgements47:29
Live cell podosomes54:58