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Height Estimation of Target Objects Based on Structured Light
时间:2018-11-21 14:19   来源:未知   作者:admin   点击:
       Abstract:The height estimation of the target object is an important research direction in the field of computer vision. The three-dimensional reconstruction of structured light has the characteristics of high precision, noncontact, and simple structure and is widely used in military simulation and cultural heritage protection. In this paper, the height of the target object is estimated by using the word structure light. According to the height dictionary, the height under the offset is estimated by the movement of the structured light to the object. In addition, by effectively preprocessing the captured structured light images, such as expansion, seeking skeleton, and other operations, the flexibility of estimating the height of different objects by structured light is increased, and the height of the target object can be estimated more accurately.
1. Introduction
       In recent years, with the development of science and technology, three-dimensional reconstruction technology as an important part of machine vision has attracted more and more attention, especially in industrial product design and cultural heritage protection. However, based on the three-dimensional reconstruction of the surface of the structured light, it is possible to reconstruct the surface of the object by laser scanning without touching the object, which can greatly protect the original culture from damage in the cultural heritage. This can make a great contribution to the excavation of ancient excellent culture and the spread of Chinese civilization. Therefore, the three-dimensional reconstruction based on structured light has important practical significance for the protection of cultural heritage and the design of industrial products [1–3]. At present, in the three-dimensional reconstruction of the main use of word-structured optical scanning method and three-dimensional reconstruction of structured light technology as a noncontact active measurement technology, with low cost, high precision, vision, real-time, anti-interference ability, and so on, these characteristics will inevitably make the next few years of this reconstruction will have a better development prospects [4, 5].
       3D surface reconstruction is to rebuild the actual shape of the real life of the object, which has become an important topic in computer vision. And researchers from all over the world have made considerable achievements in this regard. The structure of three-dimensional reconstruction system for structured light mainly includes cameras and lasers; you can use the ordinary camera to complete the task of detection, but because of the different structure of the light, the experimental results will be affected. According to the laser projection of different ways can be divided into point, line, and multiline structure of light. Point structure light for the laser projector projection of a beam of light, measured the surface of the measured object a point; the camera can only get this photo of the three-dimensional coordinates of the information; the amount of information is too small; a word line structure light projector projects a light plane; the intersection of the light plane and the measurement object can draw a cross section information; the algorithm is easy to use; multirow structured light projects multiple light planes; the surface of the object forms multiple laser lines; pictures can give us multiple cross-section information, which is large amount of information; however, it is necessary to increase the matching of light bars, which greatly improves the difficulty and complexity of the algorithm and is still in the stage of experimental research [6–8].
       At home and abroad for the 3D surface reconstruction conducted in-depth study, Horn [9] proposed the concept of SFS, which is a widely concerned three-dimensional shape reconstruction of the important ideas. The main content of this idea is to reconstruct the three-dimensional shape of the surface of the object by identifying and analyzing the shape information of the direction of the light, the brightness, the surface shape of the object, and the grayscale variation of the reflection model. Ikeuchi and Horn [10] are used to solving the three-dimensional reconstruction by using the illuminance equation and the smoothing criterion as the constraint of reconstruction. So, the problem of 3D reconstruction is transformed into the minimization problem of solving function. In this case, Horn proposed another smoothing standard. The main content is a smooth surface, where the surface obeys the integrable constraint, because the algorithm is seeking to directly 


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