In this paper, we present a recognition method for a 3D object in scattering media by using the axially distributed sensing (ADS) method and nonlinear correlation operation. Since the scatter noise for a 3D object is recorded into the elemental images by ADS method, we apply a statistical image-processing algorithm to convert the scattering elemental images into the scatter-reduced ones. After ...

We propose the Variational Shape Learner (VSL), a hierarchical latent-variable model for 3D shape learning. VSL employs an unsupervised approach to learning and inferring the underlying structure of voxelized 3D shapes. Through the use of skip-connections, our model can successfully learn a latent, hierarchical representation of objects. Furthermore, realistic 3D objects can be easily generated...

Current research on skeleton tracking techniques focus on image processing in conjunction with a video camera constrained by bones and joint movement detection limits. The paper proposed 3D skeleton tracking technique using a depth camera known as a Kinect sensor with the ability to approximate human poses to be captured, reconstructed and displayed 3D skeleton in the virtual scene using OPENNI...

Precise measurements of human body surface geometric parameters are very important for wide variety of applications such as medicine, identification, garment design and manufacturing etc. In most cases it is more convenient not to get measurements from a real subject but using his accurate 3D model. A photogrammetric technique for accurate human body 3D reconstruction is proposed. The hardware ...

We present new communication-efficient parallel dense linear solvers: An LU factorization algorithm and a triangular linear solver. The new algorithms perform asymptotically a factor of P 1/6 less communication than existing algorithms, where P is the number of processors . The new algorithms employ a 3-dimensional (3D) approach, which has been previously applied only to matrix multiplication. ...

Numerical simulation of the deformation process during flat rolling of multifilament HTS tapes has been investigated using a commercial FEM program, ELFEN. The numerical models were built up in 2D and 3D using a DruckerPragerKap model for the powder. Three different roll diameters (024 mm, 0 8 5 mm and 0126 mm) have been investigated. It is found that it is possible to perform numerical simulat...

The availability of a large number of crowdsourced CAD models of objects can be leveraged to solve the problem of pose estimation of 3D objects in monocular images. Convolutional Neural Networks(CNNs) perform to the best of their capability when they have been trained on a large amount of labeled data. We explore how 3D models can be used to generate lots of training images and annotations in t...

Introduction 3D reconstruction of an object from its 2D cross-sections (slices) has many applications in different fields of sciences such as medical physics and biomedical engineering. In order to perform 3D reconstruction, at first, desired boundaries at each slice are detected and then using a correspondence between points of successive slices surface of desired object is reconstructed. Mate...

The presented study tests which type of stereoscopic image, natural or artificial, is more adapted to perform efficient and reliable calibration in order to track the gaze of observers in 3D space using classical 2D eye tracker. We measured the horizontal disparities, i.e. the difference between the x coordinates of the two eyes obtained using a 2D eye tracker. This disparity was recorded for e...