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.
Efficient Salient Foreground Detection for Images and Video using Fiedler Vectors
This paper presents an effective method for detecting potentially salient foreground regions.
Panoramic Video from Unstructured Camera Arrays
In this paper we extend the basic concept of local warping for parallax removal.
Mastercam FVV- Robust Registration of Multiview Sports Video to a Static High-Resolution Master Camera For Free Viewpoint Video
We introduce the concept of a static high-resolution master camera for improved long-term multiview alignment.
3D-TV RnD Activities in Europe
Through the research frameworks of the European Commission, in particular, a number of long-term issues have been addressed to overcome limitations of the traditional two-view stereoscopy.
Spatially-Varying Image Warping: Evaluations and VLSI Implementations
In this work, we analyze and compare spatially-varying image warping techniques in terms of quality and computational performance.
A Real-Time 720p Feature Extraction Core Based on Semantic Kernels Binarized
In this paper, we describe an efficient ASIC core that is able to detect up to 25 k interest points in real time on a 720p video stream using the recently proposed Semantic Kernels Binarized (SKB) algorithm.
Computational Stereo Camera System with Programmable Control Loop
In this paper, we present a computational stereo camera system that closes the control loop from capture and analysis to automatic adjustment of physical parameters.
Evaluation and FPGA Implementation of Sparse Linear Solvers for Video Processing Applications
In this work, we address sparse linear solvers for real-time video applications.
High-Speed Object Tracking Using an Asynchronous Temporal Contrast Sensor
In this paper, we approach this problem by asynchronously recording local contrast change at high speed, using a type of visual capture device called a Dynamic Vision Sensor (DVS).
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