For a monocular 360° image, depth estimation is challenging because the distortion increases along latitude. To perceive distortion, existing methods devote to designing deep and complex network architecture. In this paper, we provide new perspective that constructs an interpretable sparse representation for image. Considering importance of geometric structure in estimation, utilize contourlet ...

Depth estimation provides essential information to perform autonomous driving and driver assistance. A promising line of work consists introducing additional semantic about the traffic scene when training CNNs for depth estimation. In practice, this means that data used CNN is complemented with images having pixel-wise labels where same raw associated both types ground truth, i.e., labels. The ...

This paper investigates motion estimation and segmentation of independently moving objects in video sequences that contain depth and intensity information, such as videos captured by a Time of Flight camera. Specifically, we present a motion estimation algorithm which is based on integration of depth and intensity data. The resulting motion information is used to derive long-term point trajecto...

In the paper we present a method to estimate relative depth between objects in scenes of video sequences. The information for the estimation of the relative depth is obtained from the overlapping produced between objects when there is relative motion as well as from motion coherence between neighbouring regions. A relaxation labelling algorithm is used to solve conflicts and assign every region...

We propose a fast depth reconstruction algorithm for stereo sequences using camera geometry and disparity estimation. In disparity estimation process, we calculate dense background disparity fields in an initialization step so that only disparities of moving object regions are updated in the main process using real-time segmentation and hierarchical disparity estimation techniques. The estimate...

A hybrid approach, combining thermographic signal reconstruction (TSR) and pulsed phase thermography (PPT), is proposed and tested for the depth estimation of subsurface defects from pulsed thermographic data. First, TSR is used to obtain the polynomial coefficients from raw data. A synthetic thermogram sequence is then reconstructed from the obtained coefficients. Finally, quantitative PPT is ...

the purpose of the present study was to determine the effect of increasing arousal and its effect on athletes' depth perception. participants of this study included the students of faculty of physical education and sport sciences. 58 students (23 female and 35 male, mean age: 23.3 and sd: 2.16) were selected randomly. participants performed the study tests under two motivational conditions...

The inverse problem formulation of the depth dose curve estimation is applied to sparse non-equally spaced measurement grid and the subsequent solution as well as the selection of measurement depths are discussed. The performance of the proposed estimation method is evaluated with real 6 MeV and 18 MeV photon data. These studies show that the proposed method allows the estimation of the depth d...

Bufo bufo, Depth Perception, Prey Catching Behaviour, Eye Accommodation, Monand Binocularity Distance estimation in prey catching was as exact in monocular toads (Bufo bufo (L.)) as in binocular ones. Application of Atropine or Miotic® had no significant effect on binocular animals, whereas in monocular toads it made accurate distance estimation impossible. The accom­ modative state of the eye ...