[face recognization] How to exclude the input image that isn't in the training set

1 次查看(过去 30 天)
hi everyone
I use PCA for recognizing face . here is my code shortly:
[evectors, score, evalues] = princomp(images_train_eig');
num_eigenfaces = 10;
n_evectors = evectors(:, 1:num_eigenfaces);
% project the images into the subspace to generate the feature vectors
features = n_evectors' * shifted_images;
% calculate the similarity of the input to each training image
feature_vec = n_evectors' * (input_image(:) - mean_face);
similarity_score = arrayfun(@(n) 1 / (1 + norm(features(:,n) - feature_vec)), 1:num_images);
% find the image with the highest similarity
[match_score, match_ix] = max(similarity_score);
how can i recognize people that doesn't in my training set ,
Please answer me with keywords or any clues. Thank you

回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Dimensionality Reduction and Feature Extraction 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by