The relief of the seafloor is an important source of data for many scientists. In this paper we present an optical system to deal with underwater 3D reconstruction. This system is formed by three cameras that take images synchronously in a constant frame rate scheme. We use the images taken by these cameras to compute dense 3D reconstructions. We use Bundle Adjustment to estimate the motion of ...

BACKGROUND The female athlete triad (Triad) is a serious condition with lifelong consequences seen in physically active females. Prior studies assessing Triad knowledge among coaches/athletic trainers reported surprisingly low awareness results. Our aims were to (1) determine the percentage of physicians across multiple specialties who had heard of the phrase "female athlete triad" and (2) dete...

Presented here in the form of case study examples are the results from a number of practical exercises to explore the state of the art of automatic 3D reconstructions. That is, deriving the underlying geometry of an object or place based only upon photographs. There is a wide range of applications for this technology; traditionally it has been used for landscape/terrain modeling, geology and by...

This paper focuses on how the accuracy of marker-less human motion capture is affected by the number of camera views used. Specifically, we compare the 3D reconstructions calculated from single and multiple cameras. We perform our experiments on data consisting of video from multiple cameras synchronized with ground truth 3D motion, obtained from a motion capture session with a professional foo...

Surgical training plays an important role in assisting residents to develop critical skills. Providing effective surgical training, however, remains as a challenging task. Existing videotaped training instructions can only show imagery from a fixed viewpoint that lacks both depth perception and interactivity. We present a new portable immersive surgical training system that is capable of acquir...

In this paper, we propose pyramid appearance and global structure action descriptors on both RGB and depth motion history images and a model-free method for human action recognition. In proposed algorithm, we firstly construct motion history image for both RGB and depth channels, at the same time, depth information is employed to filter RGB information, after that, different action descriptors ...

Scene modeling has a key role in applications ranging from visual mapping to augmented reality. This paper presents an end-to-end solution for creating accurate three-dimensional (3D) textured models using monocular video sequences. The methods are developed within the framework of sequential structure from motion, in which a 3D model of the environment is maintained and updated as new visual i...

This chapter focuses on quantitative photoacoustic tomography to recover optical maps from the deposited optical energy. After a brief overview of models, theories and algorithms, we provide an algorithm for large-scale 3D reconstructions, so-called gradient-based bound-constrained split Bregman method (GBSB).

3D reconstruction and modeling techniques based on computer vision show a significant improvement in recent decades. Despite the great variety, a majority of these techniques depend on specific photographic collections or video footage. For example, most are designed for large data collections, overlapping photos, captures from turntables or photos with lots of detectable features such as edges...

An ensemble of simulations of the climate of the past millennium conducted with a three-dimensional climate model of intermediate complexity are constrained to follow temperature histories obtained from a recent compilation of well-calibrated surface temperature proxies using a simple data assimilation technique. Those simulations provide a reconstruction of the climate of the Arctic that is co...