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This is a face detection program based on SIFT-like Histogram of Gradients(HoG). Multiscale sliding window is adopted to detect potential faces in the testing image.

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html
html
 
 
MineHardNegatives.m
MineHardNegatives.m
 
 
README.md
README.md
 
 
VOCap.m
VOCap.m
 
 
evaluate_detections.m
evaluate_detections.m
 
 
evaluate_detections_com.m
evaluate_detections_com.m
 
 
get_positive_features.m
get_positive_features.m
 
 
get_random_negative_features.m
get_random_negative_features.m
 
 
index.html
index.html
 
 
non_max_supr_bbox.m
non_max_supr_bbox.m
 
 
proj4.m
proj4.m
 
 
report_accuracy.m
report_accuracy.m
 
 
run_detector.m
run_detector.m
 
 
run_detector_with_histequal.m
run_detector_with_histequal.m
 
 
visualize_detections_by_confidence.m
visualize_detections_by_confidence.m
 
 
visualize_detections_by_image.m
visualize_detections_by_image.m
 
 
visualize_detections_by_image_no_gt.m
visualize_detections_by_image_no_gt.m
 
 

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Project_2_Face_Detection

This is a face detection program using SIFT-like Histogram of Gradients(HoG) based on Triggs's paper.
Multiscale sliding window is adopted to detect potential faces in the testing image.

Detailed project description:

Please refer to Project Report for detailed project evaluation.

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This is a face detection program based on SIFT-like Histogram of Gradients(HoG). Multiscale sliding window is adopted to detect potential faces in the testing image.

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face-detection hog

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