The paper presents a collaborative image-based 3D reconstruction pipeline to perform image acquisition with a smartphone and geometric 3D reconstruction on a server during concurrent or disjoint acquisition sessions. Images are selected from the video feed of the smartphone's camera based on their quality and novelty. The smartphone's app provides on-the-fly reconstruction feedback to users co-involved in the acquisitions. The server is composed of an incremental SfM algorithm that processes the received images by seamlessly merging them into a single sparse point cloud using bundle adjustment. Dense image matching algorithm can be lunched to derive denser point clouds. The reconstruction details, experiments and performance evaluation are presented and discussed
3D Reconstruction with a collaborative approach based on smartphones and a cloud-based server / Nocerino, Erica; Poiesi, Fabio; Locher, Alex; Yonas Teodros, Tefera; Remondino, Fabio; Chippendale, Paul; Van Gool, Luc. - XLII-2/W8:(2017), pp. 187-194. (Intervento presentato al convegno 5th International Workshop LowCost 3D - Sensors, Algorithms, Applications tenutosi a Hamburg (GE) nel 28/11/2017 - 29/11/2017) [10.5194/isprs-archives-XLII-2-W8-187-2017].
3D Reconstruction with a collaborative approach based on smartphones and a cloud-based server
Erica Nocerino
;
2017-01-01
Abstract
The paper presents a collaborative image-based 3D reconstruction pipeline to perform image acquisition with a smartphone and geometric 3D reconstruction on a server during concurrent or disjoint acquisition sessions. Images are selected from the video feed of the smartphone's camera based on their quality and novelty. The smartphone's app provides on-the-fly reconstruction feedback to users co-involved in the acquisitions. The server is composed of an incremental SfM algorithm that processes the received images by seamlessly merging them into a single sparse point cloud using bundle adjustment. Dense image matching algorithm can be lunched to derive denser point clouds. The reconstruction details, experiments and performance evaluation are presented and discussedI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.