I tried to google in hope to find any Google Goggles alike tools/libraries that would somewhat allow the developer to recognize objects in a video.
I was trying to build a basic Face Recognition system (PCA-Eigenfaces) using OpenCV 2.2 (from Willow Garage). I understand from many of the previous posts on Face Recognition that there is no standard
Let\'s say a user can input one of three distinct elements: {A, B, C} As the user continues to put in these values, is there a way to predict开发者_如何学Python probabilities of which value would be
I am just bein开发者_开发技巧g adventurous and taking my first baby step toward computer vision. I tried to implement the Hough Transformation on my own but I just don\'t get the whole picture. I read
Hey guys,Am wondering if anybody can help me with a starting point for the design of a Neural Network system tha开发者_C百科t can recognize visual patterns, e.g. checked, and strippes. I have knowledg
I have ~100 wav au开发者_如何学Pythondio files at sample rate of 48000 of birds of the same species I\'d like to measure the similarity between.I\'m starting with wave files, but I know (very slightly
Like, finding the positions of all the A\'s within a .png, regardless of scale, but all rotated properly?
With开发者_如何学运维 an IQ of 70, I\'m simply not smart enough to find out how I should do this.
I have a 1D accelerometer signal (one axis only). I would like to create a robust algorithm, which would be able to recognize some shapes in the signal.
I\'m looking for any algorithm or source code which can find whole or partial simple 3-D shapes (sphere, cylinder, cone, etc) in a 3-D triangulation mesh.