Enhancment of dense urban digital surface models from VHR optical satellite stereo data by pre-segmentation and object detection [PDF]
, 2010 The generation of digital surface models (DSM) of urban areas from very high resolution (VHR) stereo satellite imagery requires advanced methods. In the classical approach of DSM generation from stereo satellite imagery, interest points are extracted and
Krauß, Thomas, Reinartz, Peter
core
Temporal integration characteristics of an image defined by binocular disparity cues
i-PerceptionWe can correctly recognize the content of an image by presenting all of the elements within a limited time, such as in a slit view or a divided painting image.
Fumiya Haraguchi +2 more
doaj +1 more source
Dynamics of absolute and relative disparity processing in human visual cortex
NeuroImage, 2022 Cortical processing of binocular disparity is believed to begin in V1 where cells are sensitive to absolute disparity, followed by the extraction of relative disparity in higher visual areas.
Milena Kaestner +3 more
doaj
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions [PDF]
arXivDeep learning (DL) has surpassed human performance on standard benchmarks, driving its widespread adoption in computer vision tasks. One such task is disparity estimation, estimating the disparity between matching pixels in stereo image pairs, which is crucial for safety-critical applications like medical surgeries and autonomous navigation.
arxiv
Multiple Lane Detection Algorithm Based on Optimised Dense Disparity Map Estimation [PDF]
arXiv, 2018 Lane detection is very important for self-driving vehicles. In recent years, computer stereo vision has been prevalently used to enhance the accuracy of the lane detection systems. This paper mainly presents a multiple lane detection algorithm developed based on optimised dense disparity map estimation, where the disparity information obtained at time ...
arxiv
Finding Correspondences for Optical Flow and Disparity Estimations using a Sub-pixel Convolution-based Encoder-Decoder Network [PDF]
arXiv, 2018 Deep convolutional neural networks (DCNN) have recently shown promising results in low-level computer vision problems such as optical flow and disparity estimation, but still, have much room to further improve their performance. In this paper, we propose a novel sub-pixel convolution-based encoder-decoder network for optical flow and disparity ...
arxiv
Modeling Stereo-Confidence Out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep [PDF]
arXivWe propose a novel stereo-confidence that can be measured externally to various stereo-matching networks, offering an alternative input modality choice of the cost volume for learning-based approaches, especially in safety-critical systems. Grounded in the foundational concepts of disparity definition and the disparity plane sweep, the proposed stereo ...
arxiv
Monocular Navigation in Large Scale Dynamic Environments
, 2017 We present a processing technique for a robust reconstruction of motion properties for single points in large scale, dynamic environments. We assume that the acquisition camera is moving and that there are other independently moving agents in a large ...
Burschka, Darius
core