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2013-01-09 07:07:45 -0600	received badge	● Nice Question (source)
2012-09-25 09:17:18 -0600	asked a question	Can the Bag of Words functions be used with binary descriptors? Basically, I have a bunch of binary descriptors, and I want to use a bag of words model to transform them into a histogram, stemming from 100 clusters. I have coded this out by hand, but my hunch is that the OpenCV implementation is likely better coded and potentially well optimized, so I'd like to see if that yields more efficient computation. So, with the descriptors already extracted (and binary), can the bag of words functions be used to cluster/assign to build the bag of words model on binary features?
2012-09-25 09:14:54 -0600	received badge	● Scholar (source)
2012-09-24 00:00:43 -0600	received badge	● Student (source)
2012-09-23 13:06:34 -0600	asked a question	Is it possible to get a pointer to two different frames in a video sequence at the same time with OpenCV? You can access a specific frame in a video sequence like this: `capture.set(CV_CAP_PROP_POS_FRAMES, frame_num); capture >> frame;` You can then access a separate frame like this: `capture.set(CV_CAP_PROP_POS_FRAMES, frame_num - 20); capture >> frame2;` However, when you set the capture property with `CV_CAP_PROP_POS_FRAMES`, it actually moves the first pointer and `frame` and `frame2` end up pointing to the same data, containing the same values. I want a pointer to both, so I do not have to clone the data (expensive computation) but I can perform comparisons between the two frames. How can this be done with OpenCV?