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Segmentation and semantic labelling of RGBD data with convolutional neural networks and surface fitting

Autor: Giampaolo Pagnutti, Ludovico Minto, Pietro Zanuttigh

Publikováno v: IET Computer Vision, Vol 11, Iss 8, Pp 633-642 (2017)

We present an approach for segmentation and semantic labelling of RGBD data exploiting together geometrical cues and deep learning techniques. An initial over‐segmentation is performed using spectral clustering and a set of non‐uniform rational B

Externí odkaz: https://doaj.org/article/1e6fc1a549a4469fab5bbf65ad453312

Semi-Automatic Image Labelling Using Depth Information

Autor: Mostafa Pordel, Thomas Hellström

Publikováno v: Computers, Vol 4, Iss 2, Pp 142-154 (2015)

Image labeling tools help to extract objects within images to be used as ground truth for learning and testing in object detection processes. The inputs for such tools are usually RGB images. However with new widely available low-cost sensors like Mi

Externí odkaz: https://doaj.org/article/36fe167aa1374465ae9e33bfa13aa8f7

Temporally coherent 3D point cloud video segmentation in generic scenes

Autor: Josep R. Casas, Xiao Lin, Montse Pardàs

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
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© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26d8e9dd68ba6430cbacdf76ff69ff58

3D real time object recognition

Autor: Amplianitis, Konstantinos

Die Objekterkennung ist ein natürlicher Prozess im Menschlichen Gehirn. Sie ndet im visuellen Kortex statt und nutzt die binokulare Eigenschaft der Augen, die eine drei- dimensionale Interpretation von Objekten in einer Szene erlaubt. Kameras ahmen

Externí odkaz: http://edoc.hu-berlin.de/18452/18369