Depth Estimation Based on 3D Focus Measurement
نویسندگان
چکیده
منابع مشابه
Lens-Based Depth Estimation for Multi-focus Plenoptic Cameras
Multi-focus portable plenoptic camera devices provide a reasonable tradeoff between spatial and angular resolution while enlarging the depth of field of a standard camera. Many applications using the data captured by these camera devices require or benefit from correspondences established between the single microlens images. In this work we propose a lens-based depth estimation scheme based on ...
متن کامل3d Object–based Depth Estimation from Stereoscopic Image Sequences
A 3D object–based depth estimation approach from stereoscopic image sequences is presented in this paper that introduces a memory for depth information from preceding image pairs. This approach is used in the EU–RACE project DISTIMA for applications like remote handling, quality control and TV post processing. Compared to depth estimation approaches that compute depth maps from consecutive ster...
متن کاملEntropy - based depth from focus
The two-image depth-from-focus problem is reconsidered in terms of entropy loss in a linear filter. It is shown that this formulation leads to a relatively simple solution whose variance is equal to or less than that from a regression approach. The formulation is appropriate even when the point-spread function of the optical system is not well suited to a low-order regression fit or when both i...
متن کاملAn Accurate Surface Measurement Method Based on Depth-from-focus Considering Magnification Variations
Errors resulting from magnification variations of optical system are largely generated in threemensional shape measurements based on depth-from-focus. Focus measures are wrongly or ambiguously tracted, due to the variations. In this paper, a DFF-based methodology considering these magnification riations is proposed to make accurate measurements in surface morphology with high depth discontinuit...
متن کامل3D 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 کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Modeling and Optimization
سال: 2015
ISSN: 2010-3697
DOI: 10.7763/ijmo.2015.v5.473