Lecture 17: Bag-of-Features (Bag-of-Words)

UCF Computer Vision Video Lectures 2012
Instructor: Dr. Mubarak Shah (vision.eecs.ucf.edu/faculty/sh...)
Presentation: crcv.ucf.edu/courses/CAP5415/F...

Пікірлер: 8

  • @sonngotung6258
    @sonngotung62587 жыл бұрын

    perfect , this what iam looking for , prof

  • @F1mus
    @F1mus11 жыл бұрын

    nice description thanks

  • @VidyasagarGaikwadLY
    @VidyasagarGaikwadLY6 жыл бұрын

    Is each feature descriptor clustered separately? or are they concatenated/mixed and clustered as a whole? For eg.: I have HOG and SIFT descriptor.Would you cluster them separately for an image?

  • @radhesyam4644
    @radhesyam46447 жыл бұрын

    How can we apply bag of features to hyperspectral remote sensing images

  • @pardeseisesconmoscas1707
    @pardeseisesconmoscas17077 жыл бұрын

    Intro tape dynamic !

  • @Kratax
    @Kratax7 жыл бұрын

    Instead of histograms the program should know that if the thing has two wheels, it is probably a bike, because bikes have two wheels. Not so that the machine tries to separate bike from zebra based on some sample images.

  • @pardeseisesconmoscas1707
    @pardeseisesconmoscas17077 жыл бұрын

    For minute 4:44 it was actually very cool... a motor bike! Wow ! =)

  • @pardeseisesconmoscas1707
    @pardeseisesconmoscas17077 жыл бұрын

    Personally vsm would be a chocolate king bar