Conference Paper

High-accuracy stereo depth maps using structured light

Middlebury Coll., VT, USA
DOI: 10.1109/CVPR.2003.1211354 Conference: Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on, Volume: 1
Source: DBLP


Progress in stereo algorithm performance is quickly outpacing the ability of existing stereo data sets to discriminate among the best-performing algorithms, motivating the need for more challenging scenes with accurate ground truth information. This paper describes a method for acquiring high-complexity stereo image pairs with pixel-accurate correspondence information using structured light. Unlike traditional range-sensing approaches, our method does not require the calibration of the light sources and yields registered disparity maps between all pairs of cameras and illumination projectors. We present new stereo data sets acquired with our method and demonstrate their suitability for stereo algorithm evaluation. Our results are available at

Full-text preview

Available from:
  • Source
    • "h. The correlation between the lit area of an object and its shadow (contrast sensitivity) has been conceived to be a depth indicator [16]. i. "
    [Show abstract] [Hide abstract]
    ABSTRACT: Perception as a thought process and as one of the most fundamental cognitive functions is considered as an important scientific field of study and therefore has been discussed intensively. The role of ICTs in brain perception is reviewed here. The importance of ICTs in children with special needs and perception difficulties is explored while the effectiveness of new technology in reading perceptual ability is presented. For the scope of our research, a comprehensive review of the most representative studies of the last decade was conducted with respect to the aforementioned aspects in order to survey the findings.
    07/2015; 5(3):4-7. DOI:10.3991/ijep.v5i3.4015
  • Source
    • "These systems essentially project a pattern on the object and use a camera setup, usually a stereo pair, for 3D imaging [66]. Hence, pattern projection is an extension of stereo by helping solve the correspondence problem better. "
    [Show abstract] [Hide abstract]
    ABSTRACT: With the ever-increasing emphasis on maintaining road assets to a high standard, the need for fast accurate inspection for road distresses is becoming extremely important. Surface distresses on roads are essentially three dimensional (3-D) in nature. Automated visual surveys are the best option available. However, the imaging conditions, in terms of lighting, etc., are very random. For example, the challenge of measuring the volume of the pothole requires a large field of view with a reasonable spatial resolution, whereas microtexture evaluation requires very accurate imaging. Within the two extremes, there is a range of situations that require 3-D imaging. Three-dimensional imaging consists of a number of techniques such as interferometry and depth from focus. Out of these, laser imagers are mainly used for road surface distress inspection. Many other techniques are relatively unknown among the transportation community, and industrial products are rare. The main impetus for this paper is derived from the rarity of 3-D industrial imagers that employ alternative techniques for use in transportation. In addition, the need for this work is also highlighted by a lack of literature that evaluates the relative merits/demerits of various imaging methods for different distress measurement situations in relation to pavements. This overview will create awareness of available 3-D imaging methods in order to help make a fast initial technology selection and deployment. The review is expected to be helpful for researchers, practicing engineers, and decision makers in transportation engineering.
    IEEE Transactions on Intelligent Transportation Systems 05/2015; 16(5). DOI:10.1109/TITS.2015.2428655 · 2.38 Impact Factor
  • Source
    • "Finally, Papadhimitri and Favaro [15] proposed a closed-form solution based on the identification of a set of local diffuse reflectance maxima which provides enough constraints to solve for the GBR ambiguity. Another viable option to obtain reliable and detailed 3D surfaces is to use a structured pattern for illuminating the object in a controlled environment [16]. These active systems have led to a high number of custom solutions [17] that require a laboratory setup and accurate calibration of the devices. "
    [Show abstract] [Hide abstract]
    ABSTRACT: In this paper, we address the problem of dense 3D reconstruction from multiple view images subject to strong lighting variations. In this regard, a new piecewise framework is proposed to explicitly take into account the change of illumination across several wide-baseline images. Unlike multi-view stereo and multi-view photometric stereo methods, this pipeline deals with wide-baseline images that are uncalibrated, in terms of both camera parameters and lighting conditions. Such a scenario is meant to avoid use of any specific imaging setup and provide a tool for normal users without any expertise. To the best of our knowledge, this paper presents the first work that deals with such unconstrained setting. We propose a coarse-to-fine approach, in which a coarse mesh is first created using a set of geometric constraints and, then, fine details are recovered by exploiting photometric properties of the scene. Augmenting the fine details on the coarse mesh is done via a final optimization step. Note that the method does not provide a generic solution for multi-view photometric stereo problem but it relaxes several common assumptions of this problem. The approach scales very well in size given its piecewise nature, dealing with large scale optimization and with severe missing data. Experiments on a benchmark dataset Robot data-set show the method performance against 3D ground truth.
Show more