'Histogram intersection' presentation slideshows

Step 3: Classification

Step 3: Classification. Learn a decision rule (classifier) assigning bag-of-features representations of images to different classes. Decision boundary. Zebra. Non-zebra. Classification. Assign input vector to one of two or more classes

636 views • 54 slides

Image Categorization

626 views • 51 slides

Object recognition

Object recognition. Methods for classification and image representation. Credits. Paul Viola, Michael Jones, Robust Real-time Object Detection, IJCV 04 Navneet Dalal and Bill Triggs, Histograms of Oriented Gradients for Human Detection, CVPR05

782 views • 42 slides

MPEG-7 DCD using Merged Palette Histogram Similarity Measure

MPEG-7 DCD using Merged Palette Histogram Similarity Measure. Lai-Man Po and Ka-Man Wong ISIMP 2004 Oct 20-22, Poly U, Hong Kong Department of Electronic Engineering City University of Hong Kong. A compact and effective descriptor Generated by GLA color quantization

226 views • 17 slides

Local Binary Patterns (LBP)

Local Binary Patterns (LBP). Tsung-Yi Wu. Concept. Divide the examined window to cells (e.g. 16x16 pixels for each cell).

403 views • 15 slides