... while working on this project. The idea is to segment the image into objects after which another algorithm is used to detect the actual object based on both 2D and 3D features, after which the object can ...
Back to the roots! Before obtaining PhD degree in the area of machine vision I designed automation systems. This year I "returned back to the roots" (for a shortwhile only) and designed a complet ...
... pixel values are roughly the same. Therefore, we blend image information inside objects while borders (also known as edges) are left intact. As an example, suppose we have two different objects in the ...
... Engineering Middle East Technical University Inonu Bulvari, 06531Ankara (TURKEY)
Sinan Kalkan's homepage
We met with Sinan while working in the DRIVSCO project. We wrote a scientific acticle wit ...
... intensity means more votes, while low intensity means less votes. Black represents 0 votes.
By placing a mask (that best syntonizes with the image gradient direction) on top of each disparity ...
... WO apriori shows results without using a spatial constraint while Spatial displays results using a spatial constraint. As it can be observed from the video, results with a spatial constraint are far better ...
... from the cameras while WO guide refers to results without fusion and W guide refers to results obtained using the method described in the paper. As it can be observed from the video, stereo disparity results ...
... function, \( I \) is the image and \( c \) is a `balloon' force constant.
Segmentation results for an image from the DRIVSO project.
Model 1. is the geometric model, while model 2. is the ...
... What this means is that we don't want the interface to be "arbitrarily" long. The theory behind the model is covered briefly here, while both the mathematical model and the exact algorithm implement ...
... is the coarse-to-fine loop
WHILE( \(s=scl:-1:1\) )
\(I_0 = Iscl_0\, \, I_1 = Iscl_1\ \)
Approximate derivatives for \(I_0\) and \(I_1\): \(\dfrac\), \(\dfrac}\), \(\dfrac} \)
//Solve for new ...
... error. The figure below shows a set of 8 voting masks. Intensity represents the number of votes each position gets. High intensity means more votes, while low intensity means less votes. Black represent ...
... is 'similar' (homogeneous) as per the used similarity metric (e.g. similar color in the case of RGB/HSV images), while the boundary separating the segments is called the interface. Therefore, using explici ...
... Gibson in 1940s. In computer vision optical flow typically refers to movement observed in the image plane defined by a vector \( [u,v] \) where the first component describes horizontal movement while the ...
... \) are the 'left-' and 'right' camera centres, \(X\) is the point of interest in 3D world, while \(x\) and \(x^\prime\) are the images of \(X\) as seen in the respective cameras. As it can be understoo ...
... topics include stereo disparity, optical flow and segmentation. Disparity and optical flow are low-level techniques while segmentation is considered a middle-level technique.
3D-reconstruction ...
... e same group.
Main Research Interests
General research interests of Prof. Ros's group are related to real-time image processing, HDL and hardware design, reconfigurable systems and machine learning, wh ...