findView
Description
Examples
Find View Corresponding to View ID
Create an empty image view set.
vSet = imageviewset;
Add two images.
imageDir = fullfile(toolboxdir("vision"),"visiondata","structureFromMotion"); I1 = im2gray(imread(fullfile(imageDir,"image1.jpg"))); I2 = im2gray(imread(fullfile(imageDir,"image2.jpg")));
Detect interest points in the two images
points1 = detectSURFFeatures(I1); points2 = detectSURFFeatures(I2);
Extract features descriptors from the detected points.
[features1,validPoints1] = extractFeatures(I1,points1); [features2,validPoints2] = extractFeatures(I2,points2);
Add the points to the imageviewset object.
vSet = addView(vSet,1,Features=features1,Points=validPoints1); vSet = addView(vSet,2,Features=features2,Points=validPoints2);
Find the view that corresponds to viewID
equal to 1.
view = findView(vSet,1)
view=1×4 table
ViewId AbsolutePose Features Points
______ ________________ _______________ __________________
1 1x1 rigidtform3d {574x64 single} {574x1 SURFPoints}
Check the feature points that correspond to viewID
equal to 1.
view.Points{:}
ans = 574x1 SURFPoints array with properties: Scale: [574x1 single] SignOfLaplacian: [574x1 int8] Orientation: [574x1 single] Location: [574x2 single] Metric: [574x1 single] Count: 574
Input Arguments
vSet
— Image view set
imageviewset
object
Image view set, specified as an imageviewset
object.
viewIds
— View identifier
M-element vector
View identifiers, specified as an M-element vector of integers. Each view identifier is unique to a specific view.
Output Arguments
views
— View attributes
four-column table
View attributes, returned as a four-column table. The table contains the columns
ViewId
, AbsolutePose
,
Features
, and Points
attribute
descriptions.
Extended Capabilities
C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.
Version History
Introduced in R2021b
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