I have been working on SIFT based keypoint tracking algorithm and something happened on Reddit. Kat wanted this is Python so I added this feature in SimpleCV. Here’s the pull request which got merged. SIFT KeyPoints Matching using OpenCV-Python: To … Continue reading
This is the third post in the Python/C API series. In previous posts, Python/C API: #include<Python.h> and Python/C API: Reference Counting, I have shown how to extend Python with C API and importance of memory management in Python. In this … Continue reading
5th semester is finally over and let’s just say I have been to the dark side. Moving on. The most important aspect of Python is memory management. As mentioned in the earlier post of this series, PyObject* is a pointer … Continue reading
People are strange when you are stranger. So stop being stranger and start writing emails. You’d get replies. I came across this amazing computer vision library for Python – Mahots. It has great support for Image Processing and the most … Continue reading
I am working on a tracking algorithm based on Lucas-Kanade Method using Optical Flow. The Lucas–Kanade method is a widely used differential method for optical flow estimation developed by Bruce D. Lucas and Takeo Kanade. It assumes that the flow … Continue reading
Kalman Filter is a set of mathematical equations that provides an efficient computational (recursive) means to estimate the state of a process, in a way that minimizes the mean of the squared error. It uses a series of measurements observed … Continue reading
CAMShift stands for Continuously Adaptive Mean Shift. It is the basis for the face-tracking algorithm in OpenCV. It combines the basic Mean Shift algorithm with an adaptive region-sizing step. The kernel is a simple step function applied to a skin-probability … Continue reading
The Sobel Operator is used in Image Processing to get the edges in the image. It is a Discrete Differentiation Operator which computes an approximation of the gradient of the image intensity function.The Sobel operator is based on convolving the … Continue reading
In my previous post Configuring Boost::Python and Hello Boost, I have shown how to configure Boost::Python. I have managed to use OpenCV C++ with Python, using Boost::Python. I have been able to load and show an image successfully. OpenCV C++: First, … Continue reading
In my recent blog posts, I have mentioned that python is quite slow and I need to find an option to increase run-time speed of my python port of OpenTLD. I need to extend Python with C++ and hence I … Continue reading
