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Lensless imaging systems, such as the recently proposed FlatCam, offer numerous advantages over lens-based systems such as a thin form-factor, low cost, and higher light throughput. However, little work has been done in analyzing these systems' depth of field characteristics. A depth-dependent calibration step is necessary to obtain the image from the FlatCam measurements, and this calibration determines...
We present a novel framework for precisely estimating dense depth maps by combining 3D lidar scans with a set of uncalibrated camera RGB color images for the same scene. Rough estimates for 3D structure obtained using structure from motion (SfM) on the uncalibrated images are first co-registered with the lidar scan and then a precise alignment between the datasets is estimated by identifying correspondences...
Blur in images, caused by camera motion with an open shutter, is usually thought of as a problem. The algorithm described in this paper shows instead that it is possible to use the blur caused by the integration of light rays at different locations along a moving camera trajectory to extract information about the light rays that are present within the scene. Retrieving the light rays present within...
The paper introduces an accurate solution to dense orthographic Non-Rigid Structure from Motion (NRSfM) in scenarios with severe occlusions or, likewise, inaccurate correspondences. We integrate a shape prior term into variational optimisation framework. It allows to penalize irregularities of the time-varying structure on the per-pixel level if correspondence quality indicator such as an occlusion...
Recent work in dense monocular 3D reconstruction relies on dense pixel correspondences and assumes brightness constancy and saliency, and thus are fundamentally unable to reconstruct low-textured or non-lambertian objects such as glass or metal. Occlusion boundaries differ from texture in that each unique view generates a unique set of occlusions. By detecting and solving for the depths of occlusion...
Precise reconstruction of 3D volumes from X-ray projections requires precisely pre-calibrated systems where accurate knowledge of the systems geometric parameters is known ahead. However, when dealing with mobile X-ray devices such calibration parameters are unknown. Joint estimation of the systems calibration parameters and 3d reconstruction is a heavily unconstrained problem, especially when the...
We describe a novel automatic calibration method using a single camera for a multiple-projector spherical Fish Tank Virtual Reality (FTVR) display. Modeling the projector as an inverse camera, we estimate the intrinsic and extrinsic projector parameters automatically using a set of projected images on the spherical screen. A calibrated camera is placed beneath to observe partially visible projected...
In this paper, we consider the problem of rendering novel views of a live unprepared scene from video input, important to many application scenarios (such as telepresence and remote collaboration). We present an optimization approach to improving incomplete scene reconstructions captured in real time with a single moving monocular camera. We take semi-dense depth maps and convert them into a dense...
The digital image processing has got much attention of the researchers towards development of automatic optical character recognition system. The image analysis of documents mainly focused on printed and handwritten document images. In printed document image analysis, the input image is that of machine printed document, where as in handwritten document image analysis, it is of document handwritten...
As the display devices develop rapidly, the applicability of high dynamic range (HDR) video is increased. However, most of the researches focus on generating a single HDR image and HDR video has less attention. To obtain HDR video, it is possible to capture HDR video directly. But using a specialized camera is necessary and this kind of camera is expensive and less widespread. A practical way is to...
Recent breakthroughs in consumer level virtual reality (VR) headsets are creating a growing user-base in demand for immersive, full 3D VR experiences. While monoscopic 360-videos are perhaps the most prevalent type of content for VR headsets, they lack 3D information and thus cannot be viewed with full 6 degree-of-freedom (DOF). We present an approach that addresses this limitation via a novel warping...
This paper proposes a measurement system for grasping postures using a fish eye camera. We attached a fish eye camera to the cap ofa cylindrical object, such as a jar or a bottle. The fish eye camera was used to determine the position ofthe fingertips in 3D via image processing. The grasping posture utilized when opening or closing ajar or a bottle was then reconstructed. If an object, a model of...
Since digital holography was first developed in the early 1990s, camera pixel pitch has decreased considerably. In particular, image sensors targeting the mobile phone market now feature very small pixels with high pixel count. These image sensors, though inexpensive, can be used in digital holography, taking advantage of their fine pixel pitch. This paper describes the use of the Raspberry Pi NoIR...
As a micro engineered biomimetic system to replicate key functions of living organs, organs-on-a-chip (OC) technology provides a high-throughput model for investigating complex cell interactions with a high temporal and spatial resolution in biological studies. Typically, microscopy and highspeed video cameras are used for data acquisition, which are expensive and bulky. Recently, compressed sensing...
Virtual objects are essential for building environments in virtual reality (VR) applications. However, creating photorealistic 3D models is not easy, and handcrafting the detailed 3D model from a real object can be time and labor intensive. An alternative way is to build a structured camera array such as a light-stage to reconstruct the model from a real object. However, these technologies are very...
Live instructors perspective videos are useful to present intuitive visual instructions for trainees in medical and industrial settings. In such videos, the instructors hands often hide the work area. In this demo, we present a diminished hand for visualizing the work area hidden by hands by capturing the work area with multiple cameras. To achieve the diminished reality, we use a light field rendering...
It is well known that sport skill learning is facilitated by video observation of players' actions in the target sport. A viewpoint change function is desirable when a learner observes the actions using video images. However, in general, viewpoint changes for observation are not possible because most videos are filmed from a fixed point using a single video camera. The objective of this research is...
The super-resolution reconstruction is an important method for improving the image quality, and the objective world can be better understood from 3D super-resolution model than from 2D images. In this paper, the image super-resolution reconstruction algorithm based on wavelet and the 3D geometric modeling technology were combined to study the 3D super-resolution reconstruction of images. Firstly,...
Head pose estimation is a crucial and challenging mission in video-surveillance, human computer interaction (HCI) and visual focus of attention (VFOA). On missing depth information this procedure turns particularly complicated. As core fraction of surveillance, which is fundamental to simplify head pose estimation for high-efficiency production in order to construct a real time system. In this paper,...
In recent years due to the update of relevant graphical technologies acquiring of 3D reconstructed images from 2D views is getting attention exponentially. Many researchers have therefore tried to develop robust as well as efficient methods to reconstruct 3D models from images. In this paper, we have proposed a method for reconstructing 3D view from multiple images. This approach is based on images...
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