P-45: A Quality Measurement Based on Object Formation for 3D Contents
نویسندگان
چکیده
In this paper, we propose a quality metric for three-dimensional images or videos. The goal of this work is to provide a quality measurement from the relationship between the depth image quality and the three-dimensional perception. From our observation, we found that there is a relation between the perception of depth and the formation of object. The consistency for depth and object perceptions has a strong influence on the acceptable visual quality in three-dimensional images. Since the visual quality depends on the consistency, additional work is necessary for developing objective metrics based on this concept. In this paper, we propose a quality measurement metric for threedimensional images by checking the consistency between depth and object. The measured visual quality can be used as feedback for developing depth generation algorithms, which is important for 3D industry.
منابع مشابه
3D Scene and Object Classification Based on Information Complexity of Depth Data
In this paper the problem of 3D scene and object classification from depth data is addressed. In contrast to high-dimensional feature-based representation, the depth data is described in a low dimensional space. In order to remedy the curse of dimensionality problem, the depth data is described by a sparse model over a learned dictionary. Exploiting the algorithmic information theory, a new def...
متن کاملObject-Based Classification of UltraCamD Imagery for Identification of Tree Species in the Mixed Planted Forest
This study is a contribution to assess the high resolution digital aerial imagery for semi-automatic analysis of tree species identification. To maximize the benefit of such data, the object-based classification was conducted in a mixed forest plantation. Two subsets of an UltraCam D image were geometrically corrected using aero-triangulation method. Some appropriate transformations were perfor...
متن کاملTarget detection The Simulation Analysis of the Effect of Imaging Sidelap/Overlap on the Quality of 3D Reconstruction in UAV Photogrammetry and Determination of their Optimal Values
The selection of effective and optimal sidelap/overlap of images according to the quality, speed, cost and purpose of each UAV photogrammetric project is considered as an important parameter. Since two decades ago, several researches have been carried out based on a trial and error strategy for this purpose, in which different drones and cameras have been utilized for imaging with different sid...
متن کاملNeuroTracker Three-Dimensional Multiple Object Tracking (3D-MOT): A Tool to Improve Concentration and Game Performance among Basketball Athletes
Background. Basketball is a dynamic sport where athletes are expected to observe the fast movements of team players and opponents in a performance. This condition requires a collective focus on the stipulated tasks, to achieve peak performance. Besides, training is frequently performed to improve concentration and athlete performance. This instigates the need for technology-based methods, inclu...
متن کاملA novel Local feature descriptor using the Mercator projection for 3D object recognition
Point cloud processing is a rapidly growing research area of computer vision. Introducing of cheap range sensors has made a great interest in the point cloud processing and 3D object recognition. 3D object recognition methods can be divided into two categories: global and local feature-based methods. Global features describe the entire model shape whereas local features encode the neighborhood ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011