![]() ![]() And it doesn’t matter how many functions you look for or how many references you try to find. Datype Matters: CV_32F and CV_8B do not get along under multiplication.Do not expect OpenCV to have a magic interpretation of what you are trying to do. Do not try to element-wise multiplicate matrices with different sizes (greyscale and color, for example): element-wise is element-wise literally.I tried to compose both images some times, and two aspects of OpenCV became clear quickly: In other words, I need to sum the products. And both these products must be in one image, to create the miniaturizing effect we want to see. I must element-wise multiply the original image by img_ponder also. ![]() I must element-wise multiply the blured image by img_ponder_negativo. Up to this point we have the original image, its blured counterpart and the ponder matrices. Why this? Well, when we change the value of the parameters, we want the ponder matrices to change also. All of them do the same thing: they calculate the value of the respective double variable and call gerar_imagem_ponderacao(). When the slider is changed, a callback function is called. The calculation of alphaĪs stated in Agostinho’s post, the formula for calculating the alpha (the weight matrix) is * imagem_renderizada: the last result, defined as the element-wise linear combination of the original image and its blured counterpart. * img_ponder_negativo: another weight matrix, defined as 1 - img_ponder * image1_borrada: a cv::Mat object to contain the gaussian blured image I define important cv::Mat global variables also: cmath: I’ll need to use a function to calculate the hyperbolic tangent of a number.opencv: the leading character of our project.iostream: needed to make streams of data.I would like to make a note: the code is somewhat long and non-linear, then I will explain the main ideas and the codes and variables that relate to them.Īt the top of the code I include some libraries useful for the processing: At the end of it you’ll find the details of the code I am about to explain. To get a more precise idea, I would like to make a reference to my Digital Image Processing professor’s blog about the inner works of tiltshift. Hm… ok ok… Up to this point we kind of know what’s happening. It does not involve the usage of pym particles No pym particles hereīlurring parts of the photo simulates the shallow depth of field normally encountered in close-up photography, making the scene seem much smaller than it actually is the blurring can be done either optically when the photograph is taken, or by digital postprocessing. I love to know how magic illusions are made, and I’d like to share how to turn real world images into these tiny scenes. The trick used in video has a very explicit name: miniature faking. “Tilt–shift” encompasses two different types of movements: rotation of the lens plane relative to the image plane, called tilt, and movement of the lens parallel to the image plane, called shift. Sometimes the term is used when the large depth of field is simulated with digital post-processing the name may derive from a perspective control lens (or tilt–shift lens) normally required when the effect is produced optically. Tilt–shift photography is the use of camera movements that change the orientation or position of the lens with respect to the film or image sensor on cameras. Hey there! Have you watched the video at the top of this post? Stunning, right? People looks like tiny ants in a toy world, uh? Such witchcraft has a name. ![]()
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