We introduce a novel method for enabling stereoscopic viewing of a scene from a single pre-segmented image. Rather than attempting full 3D reconstruction or accurate depth map recovery, we hallucinate a rough approximation of the scene’s 3D model using a number of simple depth and occlusion cues and shape priors. We begin by depth-sorting the segments, each of which is assumed to represent a se...

This paper presents a general refinement procedure that enhances any given depth map obtained by passive or active sensing. Given a depth map, either estimated by triangulation methods or directly provided by the sensing system, and its corresponding 2-D image, we correct the depth values by separately treating regions with undesired effects such as empty holes, texture copying or edge blurring...

We propose a framework for extracting structure from stereo which represents the scene as a collection of approximately planar layers. Each layer consists of an explicit 3D plane equation, a colored image with per-pixel opacity (a sprite), and a per-pixel depth offset relative to the plane. Initial estimates of the layers are recovered using techniques taken from parametric motion estimation. T...

This paper presents an e cient technique for unsupervised content-based segmentation in stereoscopic video sequences by appropriately combined di erent content descriptors in a hierarchical framework. Three main modules are involved in the proposed scheme; extraction of reliable depth information, image partition into color and depth regions and a constrained fusion algorithm of color segments ...

3DTV gets more and more popular. However, with the growing number of stereoscopic display devices, the 3D content for display is obviously insufficient. Current methods for generating single camera stereoscopic videos are based on creating a depth map. In this paper, an efficient image depth extraction method which utilizes the support vector machine(SVM) process is proposed. The label is estab...

This paper describes a method of extracting depth information about a scene from a single, static viewpoint. The. approach uses aperture variation to obtain a sequence of images differing only in depth of field, thus avoiding the 'correspondence problem associated with stereo and optical flow techniques. These images contain the necessary coded depth information. By using one image (that with t...

A technique to improve stereoscopic image quality of pictures generated from depth maps is proposed. Generally, there are two key problems with methods that render new images from an original image and its corresponding depth map: the depth map could contain artifacts (e.g., blockiness or contouring) and there is no information on newly exposed (disoccluded) regions. For the former, the solutio...

We propose a novel approach to problem of temporal consistency. To tackle temporal inconsistency we propose to eliminate its cause. Depth map fluctuations are caused by noise, mainly temporal. We propose to employ noise reduction on video before depth estimation. Each view of a multi-view video sequence, is independently denoised in time and then feed to a depth estimation algorithm (Fig. 1). A...

This paper presents a learning based method for pedestrians detection, combining appearance and depth map descriptors. Recent works have presented the added value of this combination. We propose two contributions: 1) a comparative study of various depth descriptors including a fast descriptor based on average depth in a sub-window of the tested area and 2) an adaptation of the Adaboost algorith...

Estimating depth from a video sequence is still a challenging task in computer vision with numerous applications. Like other authors we utilize two major concepts developed in this field to achieve that task which are the hierarchical estimation of depth within an image pyramid as well as the fusion of depth maps from different views. We compare the application of various local matching methods...