Topic
View synthesis
About: View synthesis is a research topic. Over the lifetime, 1701 publications have been published within this topic receiving 42333 citations.
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TL;DR: The Edge Weighted Optimization Concept (EWOC) is introduced for fusing low resolution depth maps with corresponding high resolution video frames by solving an overdetermined linear equation system and shows an improvement in depth map quality in comparison to other upscaling approaches.
Abstract: Accurate depth maps are a pre-requisite in three-dimensional television, e.g. for high quality view synthesis, but this information is not always easily obtained. Depth information gained by corres ...
13 citations
Patent•
11 Aug 2010
TL;DR: In this article, a view synthesis predictive coding method for multi-view video coding is proposed. But the method is not suitable for video decoding with multiple camera systems, and it requires a large number of video frames.
Abstract: The invention relates to a digital image processing and video coding/decoding technique, specifically a view synthesis predictive coding The invention aims to solve the technical problems to provide a multi-view video coding method suitable for various camera systems The multi-view video coding method is characterized in that the method comprises the following steps: a, independently coding video sequences of one or more views by means of motion compensation prediction; b, coding other video sequences by the minimal-cost one prediction mode selected from parallax compensation prediction, view synthesis prediction, and motion compensation prediction The invention ensures better effect of video coding
13 citations
TL;DR: A new 3D shape reconstruction algorithm based on shape-from-silhouette (SfS) concept is presented, and an online free-viewpoint rendering system as a practical application is proposed.
Abstract: This paper is aimed at presenting a new algorithm for full 3D shape reconstruction and online free-viewpoint rendering of objects in water. The key contributions are (1) a new calibration model for the refractive projection, and (2) a new 3D shape reconstruction algorithm based on shape-from-silhouette (SfS) concept. We also propose an online free-viewpoint rendering system as a practical application.
12 citations
12 Jan 2005
TL;DR: A novel 3D face shape-modeling algorithm, Multilevel Quadratic Variation Minimization (MQVM), that makes sole use of two orthogonal real views of a face, i.e., the frontal and profile views, and can generate C²-smooth3D face surfaces.
Abstract: One of the key remaining problems in face recognition is that of handling the variability in appearance due to changes in pose. One strategy is to synthesize virtual face views from real views. In this paper, a novel 3D face shape-modeling algorithm, Multilevel Quadratic Variation Minimization (MQVM), is proposed. Our method makes sole use of two orthogonal real views of a face, i.e., the frontal and profile views. By applying quadratic variation minimization iteratively in a coarse-to-fine hierarchy of control lattices, the MQVM algorithm can generate C²-smooth 3D face surfaces. Then realistic virtual face views can be synthesized by rotating the 3D models. The algorithm works properly on sparse constraint points and large images. It is much more efficient than single-level quadratic variation minimization. The modeling results suggest the validity of the MQVM algorithm for 3D face modeling and 2D face view synthesis under different poses.
12 citations
26 Mar 2000
TL;DR: This paper proposes a new method, called 3D spring-based face model (SBFM), to determine the precise face model of a person with different poses and facial expressions from a single image.
Abstract: It is known that 2D views of a person can be synthesised if the face 3D model of that person is available. This paper proposes a new method, called 3D spring-based face model (SBFM), to determine the precise face model of a person with different poses and facial expressions from a single image. The SBFM combines the concepts of generic 3D face model in computer graphics and deformable template in computer vision. Face image databases from MIT AI laboratory and Yale University are used to test our proposed method and the results are encouraging.
12 citations