Today range cameras are widespread low-cost sensors based on two different principles of operation: we can distinguish between Structured Light (SL) range cameras (Kinect v1, Structure Sensor, ...) and Time Of Flight (ToF) range cameras (Kinect v2, ...). Both the types are easy to use 3D scanners, able to reconstruct dense point clouds at high frame rate. However the depth maps obtained are often noisy and not enough accurate, therefore it is generally essential to improve their quality. Standard RGB cameras can be a valuable solution to solve such issue. The aim of this paper is therefore to evaluate the integration feasibility of these two different 3D modelling techniques, characterized by complementary features and based on standard low-cost sensors. For this purpose, a 3D model of a DUPLOTM bricks construction was reconstructed both with the Kinect v2 range camera and by processing one stereo pair acquired with a Canon Eos 1200D DSLR camera. The scale of the photgrammetric model was retrieved from the coordinates measured by Kinect v2. The preliminary results are encouraging and show that the foreseen integration could lead to an higher metric accuracy and a major level of ompleteness with respect to that obtained by using only separated techniques.
Kinect V2 and rgb stereo cameras integration for depth map enhancement / Ravanelli, Roberta; Nascetti, Andrea; Crespi, Mattia Giovanni. - In: THE INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES. - ISSN 1682-1777. - ELETTRONICO. - 41:B5(2016), pp. 699-702. (Intervento presentato al convegno 23rd International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Congress, ISPRS 2016; Prague; Czech Republic; 12 July 2016 through 19 July 2016 tenutosi a Prague, Czech Republic nel Luglio 2016) [10.5194/isprsarchives-XLI-B5-699-2016].
Kinect V2 and rgb stereo cameras integration for depth map enhancement
Ravanelli, Roberta
;Nascetti, Andrea;Crespi, Mattia Giovanni
2016
Abstract
Today range cameras are widespread low-cost sensors based on two different principles of operation: we can distinguish between Structured Light (SL) range cameras (Kinect v1, Structure Sensor, ...) and Time Of Flight (ToF) range cameras (Kinect v2, ...). Both the types are easy to use 3D scanners, able to reconstruct dense point clouds at high frame rate. However the depth maps obtained are often noisy and not enough accurate, therefore it is generally essential to improve their quality. Standard RGB cameras can be a valuable solution to solve such issue. The aim of this paper is therefore to evaluate the integration feasibility of these two different 3D modelling techniques, characterized by complementary features and based on standard low-cost sensors. For this purpose, a 3D model of a DUPLOTM bricks construction was reconstructed both with the Kinect v2 range camera and by processing one stereo pair acquired with a Canon Eos 1200D DSLR camera. The scale of the photgrammetric model was retrieved from the coordinates measured by Kinect v2. The preliminary results are encouraging and show that the foreseen integration could lead to an higher metric accuracy and a major level of ompleteness with respect to that obtained by using only separated techniques.File | Dimensione | Formato | |
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Ravanelli_Kinect V2-and-rgb_2016.pdf
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Note: https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B5/699/2016/
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