Stereo from Shading
We present a new method for creating and enhancing the stereoscopic 3D (S3D) sensation without using the parallax disparity between an image pair.
Path-Space Motion Estimation and Decomposition for Robust Animation Filtering
We propose a general decomposition framework, where the final pixel color is separated into components corresponding to disjoint subsets of the space of light paths.
Scalable Structure from Motion for Densely Sampled Videos
The key insight behind this paper is to effectively exploit coherence in densely sampled video input.
A Methodological Approach to User Evaluation and Assessment of a Virtual Environment Hangout
This paper describes the design challenges faced during the development process of user interfaces and the adopted methodological approach to user evaluation and assessment.
Phase-Based Frame Interpolation for Video
We present an efficient alternative by leveraging recent developments in phase-based methods that represent motion in the phase shift of individual pixels.
Semi-Automatic Video Object Segmentation by Advanced Manipulation of Segmentation Hierarchies
This paper presents a novel interface based on a click-and-drag interaction that allows to rapidly select regions from state-of-the-art segmentation hierarchies.
A Computational Model for Perception of Stereoscopic Window Violations
This paper investigates stereoscopic window violation artifacts, which often interfere with artistic freedom and constrain the comfortable depth volume.
Recent Advances in Facial Appearance Capture
Facial appearance capture is now firmly established within academic research and used extensively across various application domains, perhaps most prominently in the entertainment industry through the design of virtual characters in video games and films.
Recent Advances in Adaptive Sampling and Reconstruction for Monte Carlo Rendering
In this paper, we survey recent advances in this area. We distinguish between “a priori” methods that analyze the light transport equations and derive sampling rates and reconstruction filters from this analysis, and “a posteriori” methods that apply statistical techniques to sets of samples to drive the adaptive sampling and reconstruction process.
Efficient Salient Foreground Detection for Images and Video using Fiedler Vectors
This paper presents an effective method for detecting potentially salient foreground regions.
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