2016-04-01 61 views
0

我一直在使用特徵提取和對極幾何。然而,我不斷橫跨以下錯誤來:警告:將非浮點數據轉換爲單個數據

Warning: Converting non-floating point data to single. In pdist2 (line 219) In extractFeaturesU (line 93)

被返回警告消息的代碼行是:

[distance, position] = sort(pdist2(double(repmat(featuresA, size(xPoints, 1))), featuresB), 2, 'ascend'); 

含有上述線的代碼的一部分被顯示在下面。 double類型之一,單類型之一:

%% extract features 
corresponding = []; 
rightBound = size(sharpImageB, 2); 
xPoints = 3 : 3 : rightBound - 3; 
for index = 1 : size(realWantedPoints, 2) 
    %extract features from wanted points 
    disp('extracting features from wanted points...'); 
    if strcmp(desc, 'hog') 
     [featuresA, pointsA] = extractHOGFeatures(sharpImageA, realWantedPoints(:, index)', ... 
     'CellSize', [8 8], 'BlockSize', [2 2], 'NumBins', 9, 'UseSignedOrientation', true); 
    elseif strcmp(desc, 'block') 
     [featuresA, pointsA] = extractFeatures(sharpImageA, realWantedPoints(:, index)', ... 
     'Method', 'Block', 'BlockSize', 21, 'Upright', true); 
    elseif strcmp(desc, 'surf') 
     [featuresA, pointsA] = extractFeatures(sharpImageA, realWantedPoints(:, index)', ... 
     'Method', 'SURF', 'SURFSize', 64, 'Upright', true); 
    end 

    % generate epipolar line points 
    liner = star([1 0 0]) * [realWantedPoints(:, index); 1]; 
    yPoints = -(liner(3) + (liner(1) * xPoints))/liner(2); 
    matrixB = [xPoints', yPoints']; 

    % extract features from epipolar line points 
    disp('extracting features from epipolar line points...'); 
    if strcmp('hog', desc) 
     [featuresB, pointsB] = extractHOGFeatures(sharpImageB, matrixB, ... 
     'CellSize', [8 8], 'BlockSize', [2 2], 'NumBins', 9, 'UseSignedOrientation', true); 
    elseif strcmp('block', desc) 
     [featuresB, pointsB] = extractFeatures(sharpImageB, matrixB, ... 
     'Method', 'Block', 'BlockSize', 21, 'Upright', true); 
    elseif strcmp('surf', desc) 
     [featuresB, pointsB] = extractFeatures(greyB, matrixB, ... 
     'Method', 'SURF', 'SURFSize', 64, 'Upright', true); 
    end 

    % calculate similarity 
    [distance, position] = sort(pdist2(double(repmat(featuresA, size(xPoints, 1))), featuresB), 2, 'ascend'); 
    corresponding = [corresponding; pointsB(position(1), :)]; 
end 

xB = corresponding(:, 1); 
yB = corresponding(:, 2); 
+0

featuresB的數據類型是什麼? –

回答

0

我可以用兩個變量調用pdist2產生錯誤。例如。

x = ones(5,1,'single'); 
y = ones(5,1,'double'); 
pdist2(x,y); 

我的猜測是,你featuresB變量是單精度浮點,因此不符合您的第一個pdist2(這是雙重因爲你明確地將其轉換)參數的類型。

+0

你是對的!它的工作,謝謝 –