Mobile 3D wood pile surveying

We present a novel method for photogrammetric wood pile surveying, which runs on mobile devices as well as on desktop computers. The demand for measurement techniques for wood piles has strongly increased in the last years. Unlike existing methods, our method is not limited to a single image and uses 3D reconstruction techniques on a set of images taken with a smartphone or digital camera. The reconstructed 3D model is then used to identify individual wood logs and perform photogrammetric surveying of the entire wood pile. An extensive evaluation is conducted on 246 data sets (7655 images) from the publicly available HAWK-wood database. For the wood log detection benchmark a true positive rate of 98.8% with a false positive rate of 0.7% is achieved. The volume computation showed an average absolute difference of 2.2% (contour volume) and 5.6% (solid wood volume).