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Image based modeling and rendering from single view image is challenging as it requires a considerable amount of user interaction while modeling the objects. We present a novel and very efficient method of automatically modeling the planar surfaces in the single view perspective images based on the edges and intensity representation. By considering...
Citations
... Another interesting method called Image-based modelling and rendering (IBMR) (Mohan and Murali 2007;Mohan and Murali 2009;Zhu and Gao 2012) derives three-dimensional information from 2-D images. As a vision reconstruction method, IBMR is good enough for realistic visualization purposes but the without geometric model, it cannot in any case serve for indoor GIS navigation and other related applications. ...
Realistic texture mapping and coherent up-to-date rendering is one of the most important issues in indoor 3-D modelling. However, existing texturing approaches are usually performed manually during the modelling process, and cannot accommodate changes in indoor environments occurring after the model was created, resulting in out-dated and misleading texture rendering. In this study, a structured learning-based texture mapping method is proposed for automatic mapping a single still photo from a mobile phone onto an already-constructed indoor 3-D model. The up-to-date texture is captured using a smart phone, and the indoor structural layout is extracted by incorporating per-pixel segmentation in the FCN algorithm and the line constraints into a structured learning algorithm. This enables real-time texture mapping according to parts of the model, based on the structural layout. Furthermore, the rough camera pose is estimated by pedestrian dead reckoning (PDR) and map information to determine where to map the texture. The experimental results presented in this paper demonstrate that our approach can achieve accurate fusion of 3-D triangular meshes with 2-D single images, achieving low-cost and automatic indoor texture updating. Based on this fusion approach, users can have a better experience in virtual indoor3-D applications.
... The method was based on procedural texture generation, which permits the realization of a large variation in the building facade's appearance. Further, Mohan and Murali (2007) presented a novel method for automatic modeling of planar surfaces with texture using the single view perspective images based on the edges and intensity representation. In a different study, the automatic derivation of 3D models of high visual quality was carried out from rectified single facade images of arbitrary resolutions (Müller et al. 2007). ...
... Circular feature is a parti− cular case of a conic feature, because its perspective projec− tion in any arbitrary orientation is always an exact ellipse as well as a circle has been shown to have high centre−location accuracy for its property of isotropy. Monocular vision used in navigation of a mobile robot can find a 3D position and orientation of an object if the object model is known [1,2]. In many other vision based fields, such as automatic assem− bly, industrial metrology, and unmanned drive, it is also important to estimate the 3D location of objects. ...
In this paper, an accurate 3D model analysis of a circular feature is built with error compensation for robot vision. We propose an efficient method of fitting ellipses to data points by minimizing the algebraic distance subject to the constraint that a conic should be an ellipse and solving the ellipse parameters through a direct ellipse fitting method by analysing the 3D geometrical representation in a perspective projection scheme, the 3D position of a circular feature with known radius can be obtained. A set of identical circles, machined on a calibration board whose centres were known, was calibrated with a camera and did the model analysis that our method developed. Experimental results show that our method is more accurate than other methods.
A localization method of projected objects in 3D work space is proposed in this paper, which uses a calibrated surveillance camera. The method determines a minimum bounding cylinder or box for a projected object in input image by using the intuition that lower boundary of the object lies on the ground. A base circle or rectangle corresponding to the bottom of the bounding solid is first estimated on the ground and then its size and height of the bounding solid are determined enough to enclose the 3D object corresponding to the projected object. This method can be applied to any free-shaped objects except humans. A particular method for projected human is also proposed, which estimates a base circle differently since the intuition may not be correct. The minimum bounding solid for a projected object is useful for determining its location in 3D surveillance space and estimating its volume roughly. Usefulness of the proposed methods is presented with experimental results on real moving objects.
The attitude of an object in space can be determined based on a single 2-dimension view through digital image processing, which utilizes mapping relationships among world, camera, and image coordinates. The key to apply this technique to distance measure system of traffic accident is to detect a calibrate plate, which acts as a measure ruler. By this mean all kinds of data that are used to deal with accidents can be achieved through calculations. An adaptive method of detecting the calibrate plate in single view traffic accident distance measure system is given in this paper.
