Given a 2D image of a human face and the corresponding 3D shape, how do I project the shape onto the images to extract texture patches from them to form a partial UV map?
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I have an image which consists of an rectangular object in it and i want to find the 4 corners of the rectangle so that i can calculate the angle of inclination of that object to rotate the image based on that angle.I wanted to know if there are ways to identify the 4 corners of rectangular object so that i can wrap the image using the calculated angle.
I have tried doing some image processing stuff such as converting it gray scale and reducing the noise through Gaussian filter and after which i detect the edge using edge detection filter followed by thresholding and finding the contour.
The problem is that the contours that are found is not consistent and its not performing well on different images from my dataset .Also the background for each of these images is not constant it varies.
Try cv.findContours() on the binarized image, with white object on black background. Then run either cv.boundingRect() or cv.minAreaRect() on the contour.
See Tutorial here: https://docs.opencv.org/3.4/dd/d49/tutorial_py_contour_features.html
I am trying to apply texture to 3D clothing model using openCV. I have the UV maps of the clothing model and an image of the texture I want to apply which I prepared using grabcut(). How do I deform the texture image to match my UV mesh using OpenCV or any other automated method. I am providing the input Texture Image and also the UV mesh of the clothing. I am new to 3D modeling and OpenCV and I am facing issues with this please help me out.
Input Texture Image
UV mapped mesh of 3D model
Similar query at this link here
I was reading the source of the random walker algorithm in scikit-image library, and it's written there that:
Parameters
data : array_like
Image to be segmented in phases. Gray-level `data` can be two- or
three-dimensional
My question is: what do they mean by 3D gray-level image?
A 2D image is an image that is indexed by (x,y). A 3D image is an image that is indexed by (x,y,z).
A digital image samples the real world in some way. Photography produces a 2D projection of the 3D world, the digital photograph is a sampling of that projection. But other imaging modalities do not project, and can sample all three dimensions of the 3D world. For example:
Confocal microscopy
Computed tomography
Magnetic resonance imaging
Besides these, a 2D time-series (a movie) is sometimes also treated as a 3D image, applying algorithms that work on 3D images.
I am building a floor map in svg, it is a 2D map, I am wondering how can I transform this map into 3d space using the three.js.
I am wondering is there any API in three.js help me to transform / render these svg into 3D
How can a 2D text be reflected onto 3D mesh surface in C# ?
Thanks in advance.
Cemo
Render the text to a texture and use the texture on the mesh.