Implementing an improved stereoscopic camera model (original) (raw)

A stereoscopic movie player with real-time content adaptation to the display geometry

2012

3D shape perception in a stereoscopic movie depends on several depth cues, including stereopsis. For a given content, the depth perceived from stereopsis highly depends on the camera setup as well as on the display size and distance. This can lead to disturbing depth distortions such as the cardboard effect or the puppet theater effect. As more and more stereoscopic 3D content is produced in 3D (feature movies, documentaries, sports broadcasts), a key point is to get the same 3D experience on any display. For this purpose, perceived depth distortions can be resolved by performing view synthesis. We propose a real time implementation of a stereoscopic player based on the open-source software Bino, which is able to adapt a stereoscopic movie to any display, based on user-provided camera and display parameters.

Three-dimensional displays and stereo vision

Proceedings of the Royal Society B: Biological Sciences, 2011

Procedures for three-dimensional image reconstruction that are based on the optical and neural apparatus of human stereoscopic vision have to be designed to work in conjunction with it. The principal methods of implementing stereo displays are described. Properties of the human visual system are outlined as they relate to depth discrimination capabilities and achieving optimal performance in stereo tasks. The concept of depth rendition is introduced to define the change in the parameters of three-dimensional configurations for cases in which the physical disposition of the stereo camera with respect to the viewed object differs from that of the observer's eyes.

Depth Mapping for Stereoscopic Videos

2013

Stereoscopic videos have become very popular in recent years. Most of these videos are developed primarily for viewing on large screens located at some distance away from the viewer. If we watch these videos on a small screen located near to us, the depth range of the videos will be seriously reduced, which can significantly degrade the 3D effects of these videos. To address this problem, we propose a linear depth mapping method to adjust the depth range of a stereoscopic video according to the viewing configuration, including pixel density and distance to the screen. Our method tries to minimize the distortion of stereoscopic image contents after depth mapping, by preserving the relationship of neighboring features and preventing line and plane bending. It also considers the depth and motion coherences. While depth coherence ensures smooth changes of the depth field across frames, motion coherence ensures smooth content changes across frames. Our experimental results show that the ...

A Novel Stereoscopic view approach for 2D to 3D Conversion for 3D displays

In recent years, many new progresses in the 3D imaging have been made and increasingly given, more attention. Visual quality of 3D display is high compared to 2D displays, but, the depth information is necessary for 3D display which is unavailable in the normal 2D content. The Stereoscopic image provides detailed information of each object in the three dimensional image and it helps to observe the image in a enhanced way. The Stereoscopic images are also called as 3D images. So, converting 2D videos into 3D ones is an important issue in emerging 3D applications. This paper presents a novel technique to estimate depth information from a given input. The depth is estimated using three depth cues, depth from motion, depth from geometrical perspective and depth from color information. A block matching algorithm is used to estimate the depth from motion. To diminish the block effect and to generate comfortable depth map a cross bilateral filter is applied and finally Depth Image Based Rendering method (DIBR) is used to generate multiview video.

A Tool for Stereoscopic Parameter Setting Based on Geometric Perceived Depth Percentage

IEEE Transactions on Circuits and Systems for Video Technology, 2015

It is a necessary but challenging task for creative producers to have an idea how the target audience might perceive when watching a stereoscopic film in a cinema during production. This paper proposes a novel metric, geometric perceived depth percentage (GPDP), to numerate and depict the depth perception of a scene before rendering. In addition to the geometric relationship between the object depth and focal distance, GPDP takes the screen width and viewing distance into account. As a result, it provides a more intuitive mean for predicting stereoscopy and is universal across different viewing conditions. Based on GPDP, we design a practical tool to visualize the stereoscopic perception without the need of any 3D device or special environment. The tool utilizes the stereoscopic comfort volume, GPDP-based shading schemes, depth perception markers, and GPDP histograms as visual cues so that animators can set stereoscopic parameters more easily. The tool is easily implemented into any modern rendering pipeline, including interactive Autodesk Maya and off-line Pixar's RenderMan renderer. It has been used in several production projects including commercial ones. Finally, two user studies show that GPDP is a proper depth perception indicator and the proposed tool can make the stereoscopic parameter setting process more easy and efficient.

Sensitivity Analysis of the Human Visual System for Depth Cues in Stereoscopic 3D Displays

Three dimensional (3D) displays provide a more realistic experience of entertainment by providing its viewers an added sensation of depth by artificially exploiting light rays to stimulate certain depth cues in the human visual system, especially binocular stereopsis. Due to its close relationship with human visual perception, mass market deployment of 3D displays will be significantly dependant upon addressing the related perceptual factors such as visual comfort. In order to address the perceptual factors it is very important to understand how humans experience depth on 3D displays and how sensitive they are for different depth cues. In this paper, the sensitivity of humans for different depth cues is analyzed as applicable to 3D viewing on stereoscopic displays. Mathematical models are derived to explain the Just Noticeable Difference in Depth (JNDD) for three different depth cues, namely binocular disparity, retinal blur and relative size. Extensive subjective experiments are performed on a stereoscopic display with passive polarized glasses and on an auto-stereoscopic display to validate the mathematical models for JNDD. It is expected that the proposed models will have important use cases in 3D display designing as well as 3D content production.

Interactive Stereoscopic Computer Graphics Display Systems

Human-Computer Interaction-INTERACT, 1985

Conventional CRT displays give only a two dimensional representation of three dimensional objects which means that depth information can be presented only indirectly, using such techniques as hidden line removal, shading and object rotation. Improved perception of 3D images is possible by presenting to the viewer a stereoscopic pair of two-dimensional images. To be truly effective, the image presented by a stereoscopic display should change as the viewing point moves. Such a system requires a knowledge of the user's head position and orientation in order to compute the view to be presented to each eye. The paper describes an approach to a system of this type.

OSCAM - optimized stereoscopic camera control for interactive 3D

ACM Transactions on Graphics, 2011

Figure 1: Two stereoscopic shots of the camera moving towards objects. Our method keeps a constant target depth range when moving close to the objects. Uncontrolled stereoscopy, in contrast, can cause large disparities and destroy stereoscopic perception.