Video/GIS registration system based on skyline matching method

Zhu, Shupeng; Morin, Luce; Pressigout, Muriel; Moreau, Guillaume; Servières, Myriam

doi:10.1109/icip.2013.6738749

Cited by 8 publications

(7 citation statements)

References 8 publications

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“…We used Lyon's 3D model and are able to extract the theoretical skyline corresponding to user's GPS position. Similar works were done, as in [14], where the image gives pose estimation with panorama's skyline matched with real one, or in [15] where only embedded instruments (GPS, Gyroscope and magnetic compass) were used for the same purpose.…”

Section: Discussionmentioning

confidence: 99%

A Parametric Algorithm for Skyline Extraction

Ayadi

Suta

Scuturici

et al. 2016

Advanced Concepts for Intelligent Vision Systems

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International audienceThis paper is dedicated to the problem of automatic skyline extraction in digital images. The study is motivated by the needs, expressed by urbanists, to describe in terms of geometrical features, the global shape created by man-made buildings in urban areas. Skyline extraction has been widely studied for navigation of Unmanned Aerial Vehicles (drones) or for geolocalization, both in natural and urban contexts. In most of these studies, the skyline is defined by the limit between sky and ground objects, and can thus be resumed to the sky segmentation problem in images. In our context, we need a more generic definition of skyline, which makes its extraction more complex and even variable. The skyline can be extracted for different depths, depending on the interest of the user (far horizon, intermediate buildings, near constructions , ...), and thus requires a human interaction. The main steps of our method are as follows: we use a Canny filter to extract edges and allow the user to interact with filter's parameters. With a high sensitivity , all the edges will be detected, whereas with lower values, only most contrasted contours will be kept by the filter. From the obtained edge map, an upper envelope is extracted, which is a disconnected approximation of the skyline. A graph is then constructed and a shortest path algorithm is used to link discontinuities. Our approach has been tested on several public domain urban and natural databases, and have proven to give better results that previously published methods

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Section: Discussionmentioning

confidence: 99%

A Parametric Algorithm for Skyline Extraction

Ayadi

Suta

Scuturici

et al. 2016

Advanced Concepts for Intelligent Vision Systems

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“…The panoramic skyline is devided into four joint images from which a Cross-Similarity function is calculated to find the azimuth. An extension of this work in [12] overcomes this limitations with calculating the pitch and toll angle using a vertical vanishing points detection algorithm. More recent work in [13] uses a wide-angle synthetic image generated from 3D geometry model and the its associated image.…”

Section: Related Workmentioning

confidence: 99%

“…This distance is simply the area between the two curves. This solution is also used as a cross-similarity function in [12] and works well for skylines that are very similar. It already provides quite satisfactory results.…”

Section: Comparison Metricmentioning

confidence: 99%

The Skyline as a Marker for Augmented Reality in Urban Context

Ayadi

Valque

Scuturici

et al. 2018

Advances in Visual Computing

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In recent years, augmented reality (AR) technologies have emerged as powerful tools to help visualize the future impacts of new constructions on cities. Many approaches that use costly sensors and height-end platforms to run AR in real-time have been developed. Little efforts have been made to embed AR on mobile phones. In this paper, we present a novel approach that uses the Skyline as a marker in an AR system. This lightweight feature enables real-time matching of virtual and real skyline on smartphones. We use device's embedded instruments to estimate the user's pose. This approximation is used to insert a synthetic object in the live video stream. This first approach gives a very unrealistic impression of the viewed scene: the inserted objects appear to hover and float with the user's movements. In order to address this problem, we use the live video camera feed as additional source of information which provides a redundancy to the instruments estimation. We extract the Skyline (a set of pixels that defines the boundary between the building and the sky) as main visual feature. Our proposal is to use these automatically extracted points and track them throughout the video sequence, to allow synthetic objects to anchor these visual features, making it possible to simulate a a landscape from multiple viewpoints using a smartphone. We use images of the Lyon city (France) to illustrate our proposal.

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“…Finally, Zhu et al propose an image/DEM registration system based on skyline (Zhu et al, 2013). This work is interesting because of its real-time constraint but unfortunately, it is only adapted to urban environment and requires the presence of buildings in the image in order to detect the vanishing point.…”

Section: Matching the Detected Skyline With 3d Dem Datamentioning

confidence: 99%

“…So let explain now how we can exploit the previous score map to obtain a more reliable user's orientation estimation. Actually, such a problem is a 6-dimensional problem (considering we know camera's intrinsic parameters) as explained in (Zhu et al, 2013) because the parameters that have to be adjusted are the position (three parameters) and the orientation (three parameters too) of the camera. Trusting the GPS position and considering the projection of the DEM onto a 2D image, we reduce the problem into one that consists in finding the best 2D transformation to match our scoremap with the DEM projection.…”

Section: Skyline Matchingmentioning

confidence: 99%

Towards an Electronic Orientation Table: Using Features Extracted From the Image to Register Digital Elevation Model

Nicolle

Bonneton

Konik

et al. 2017

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Application

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Looking at a countryside, human has no difficulty to identify salient information such as skyline in case of benign weather. At the same time, during the last decade, smartphones are more and more abundant in our daily life with always new efficient proposed services but augmented reality systems suffer from a lack of performance to offer a well adapted tool in this context. The aim of this paper is then to propose a new approach coupling image processing and Digital Elevation Model (DEM) exploitation to remedy that shortcoming. The proposed method first discriminates skyline and non-skyline pixels and then introduces a realtime matching between previously extracted map and DEM. In order to evaluate objectively each step and our finalized tool, a new tagged dataset with ground-truth is created and will benefit the entire scientific community.

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Video/GIS registration system based on skyline matching method

Cited by 8 publications

References 8 publications

A Parametric Algorithm for Skyline Extraction

A Parametric Algorithm for Skyline Extraction

The Skyline as a Marker for Augmented Reality in Urban Context

Towards an Electronic Orientation Table: Using Features Extracted From the Image to Register Digital Elevation Model

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