2020-09-30 00:36:14 -0600 | received badge | ● Student (source) |
2014-03-22 20:18:00 -0600 | asked a question | frame coherence in feature detection Summary: Given an input video steam, how to we solve the problem of features not getting detected intermittently. One can possibly do a more robust feature detection. But if the input video stream is noisy or ill-illuminated, then even robust feature detection can cause intermittent failures in feature detection from frame to frame. Is there a general method where by we use the previous frame's features if detection fails for a frame? Could somebody please point me to the general direction (theory and practice) of solving this? Specific case: We are trying to detect a big circular object in the video stream using the code below. We employ HoughCircle-s. The code is given below. The output green circle flickers from frame to frame. |
2014-03-20 07:54:45 -0600 | received badge | ● Editor (source) |
2014-03-20 07:51:07 -0600 | asked a question | suggestion for a suitable android device Hi, I am starting to develop opencv applications in android. (AR, object tracking, feature detection etc) Could you please suggest a suitable device (tablet preferred).? What do you say about Nexus 7 from Google by Asus (32 GB)? It has a tegra 3.0 chip, so should be able to support neon. It doesn't have any memory expansion slot? The price looks reasonable. Anybody developing opencv applications in a google nexus 7? -thanks -koshy |
2014-02-17 19:33:18 -0600 | asked a question | suggestion for a suitable android device I am starting to develop opencv applications , face detection, object tracking, AR etc in android tablets. What would be a good tablet device to buy? |