A Sequential Structure from Motion Algorithm for Static Scenes Based on VR-Simulation

2013 ◽  
Vol 712-715 ◽  
pp. 2389-2392
Author(s):  
Hao Peng Wang ◽  
Xiao Jing Li ◽  
Tong Pan ◽  
Kai Zhao
Keyword(s):  
Structure From Motion ◽  
Feature Tracking ◽  
Dynamic Scenes ◽  
Multiple View Geometry ◽  
The Core ◽  
Reconstruction Scheme ◽  
Multiple View ◽  
Sequential Structure ◽  
Algebraic Concepts ◽  
Motion Method

The paper presented a conventional sequential Structure from Motion method, introduced the algebraic concepts and the core techniques used effectively. It is especially essential to comprehend the static scene based sequential of Structure from Motion is extended to a simultaneous segmentation and reconstruction scheme for dynamic scenes. The first outcome is the multiple view geometry, the second is the feature tracking and geometry initializing, and the last is self-calibration.

scholarly journals A square root unscented Kalman filter for multiple view geometry based stereo cameras/inertial navigation

2016 ◽  
Vol 13 (5) ◽  
pp. 172988141666485 ◽  
Author(s):  
Zhiwen Xian ◽  
Junxiang Lian ◽  
Mao Shan ◽  
Lilian Zhang ◽  
Xiaofeng He ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Unscented Kalman Filter ◽  
Inertial Navigation ◽  
Square Root ◽  
Multiple View Geometry ◽  
Multiple View ◽  
Stereo Cameras

scholarly journals Transformations in the Photogrammetric Co-Processing of Thermal Infrared Images and RGB Images

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5061
Author(s):  
Adam Dlesk ◽  
Karel Vach ◽  
Karel Pavelka
Keyword(s):  
Structure From Motion ◽  
Thermal Infrared ◽  
Processing Method ◽  
Spatial Transformation ◽  
Infrared Images ◽  
Low Resolution ◽  
Thermal Infrared Images ◽  
Rgb Images ◽  
Motion Method

The photogrammetric processing of thermal infrared (TIR) images deals with several difficulties. TIR images ordinarily have low-resolution and the contrast of the images is very low. These factors strongly complicate the photogrammetric processing, especially when a modern structure from motion method is used. These factors can be avoided by a certain co-processing method of TIR and RGB images. Two of the solutions of co-processing were suggested by the authors and are presented in this article. Each solution requires a different type of transformation–plane transformation and spatial transformation. Both types of transformations are discussed in this paper. On the experiments that were performed, there are presented requirements, advantages, disadvantages, and results of the transformations. Both methods are evaluated mainly in terms of accuracy. The transformations are presented on suggested methods, but they can be easily applied to different kinds of methods of co-processing of TIR and RGB images.

scholarly journals Robust Fitting for Multiple View Geometry

2012 ◽  
pp. 738-751 ◽  
Author(s):  
Olof Enqvist ◽  
Erik Ask ◽  
Fredrik Kahl ◽  
Kalle Åström
Keyword(s):  
Multiple View Geometry ◽  
Robust Fitting ◽  
Multiple View

Measurement of snow cover depth using 100 × 100 meters sampling plot and Structure from Motion method in Adventdalen, Svalbard

2016 ◽  
Vol 6 (2) ◽  
pp. 155-168
Author(s):  
Radim Stuchlík ◽  
Jan Russnák ◽  
Tomáš Plojhar ◽  
Zdeněk Stachoň
Keyword(s):  
Spatial Distribution ◽  
Snow Cover ◽  
Structure From Motion ◽  
Snow Depth ◽  
Surface Model ◽  
Snow Surface ◽  
Reference Volume ◽  
Snow Cover Depth ◽  
Sampling Plot ◽  
Motion Method

We tried to verify the concept of Structure from Motion method for measuring the volume of snow cover in a grid of 100×100 m located in Adventdalen, Central Svalbard. As referencing method we utilized 121 depth measurements in one hectare area. Using avalanche probe a snow depth was measured in mentioned 121 nodes of the grid. We detected maximum snow depth of 2.05 m but snowless parts as well. From gathered depths’ data we geostatistically (ordinary kriging) interpolated snow surface model which we used to determine reference volume of snow at research plot (5 569 m3). As a result, we were able to calculate important metrics and analyze topography and spatial distribution of snow cover at the plot. For taking photos for Structure from Motion method, bare pole in hands with a camera mounted was used. We constructed orthomosaic of research plot.

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