Closed rampagedog12 closed 6 years ago
If there is no translation of cameras then you can't make 3D. Also if your object is moving then the matching points/features will be rejected by algorithm. Method 1 should work.
@rampagedog12 can you share some images? It should be possible, as long as you mask the parts of the images that are outside of the rotating table.
@mlopezantequera Is it like removing background?
@rampagedog12 yes, however, the feature detector might detect features on the edge if you remove the background, ruining the process. Ideally you want to remove all features outside of the spinning table after the detector has run, to make sure this doesn't happen.
@mlopezantequera I tried this dataset in the link below and found I get no white point cloud under the statue. https://onedrive.live.com/?authkey=%21AO6WQY7aaKBtwBk&cid=17DFFF52B691466E&id=17DFFF52B691466E%21658328&parId=17DFFF52B691466E%21134076&action=locate Why isn't there no white point cloud?
@rampagedog12 , the white area under the statue has no texture, so no keypoints can be detected there. If you need the table to be also included in the reconstruction, you could use a tablecloth that has some texture on it.
@mlopezantequera Is there any method to create a mask? I tried some methods on Matlab and OpenCV, but I didn't get the desired masks for the video. Or can OpenSfM remove the features that overappear in the video? Only use the features that are shown in 5-10% of frames.
@rampagedog12 you say you are working with a rotating table, but these images are of a camera moving around a fixed table. Can you share the dataset containing images of a rotating table?
@mlopezantequera Sorry, actually, it is not rotating table. It is a spinning person like the picture. I created the masks for the selected frames of the video manually. It took me a long time for the masks, but it worked. I am going to look for some method for background and foreground separation. I found I could change the configuration like matching_order_neighbors, matching_time_neighbors, but openSfM does not consider the beginning and the ending of images......?
@rampagedog12 I think the best solution for your problem is to spin the camera around the person instead. Then all of the texture of the background can help with the reconstruction and you won't need to mask the images manually.
Hello, @paulinus I am trying to reconstruct a 3D object using OpenSfM in two method. Method 1: I took photos of an object in many different angles. Sometimes I get more than one reconstructions or zero reconstruction. Method 2: I took photos of an object on a spinning table. I got a Runtimewarning: invalid value encountered in arccos and the webviewer had nothing. I want to send message to ask Mr. Gargallo. I attempt to send it via the e-mail in Github I post the issue here.