Results 21 to 30 of about 9,658 (219)
Binocular Vision Supports the Development of Scene Segmentation Capabilities: Evidence from a Deep Learning Model [PDF]
, 2021 The application of deep learning techniques has led to substantial progress in solving a number of critical problems in machine vision, including fundamental problems of scene segmentation and depth estimation. Here, we report a novel deep neural network
Barrington, Chris +9 more
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Advances in Civil Engineering, 2021 With the development of social economy and the progress of science and technology, the process of urbanization continues to deepen and the progress of the construction industry changes with each passing day.
Yuting Zhang
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Recent Advances in Vision-Based On-Road Behaviors Understanding: A Critical Survey
Sensors, 2022 On-road behavior analysis is a crucial and challenging problem in the autonomous driving vision-based area. Several endeavors have been proposed to deal with different related tasks and it has gained wide attention recently.
Rim Trabelsi +4 more
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StreetAware: A High-Resolution Synchronized Multimodal Urban Scene Dataset
Sensors, 2023 Access to high-quality data is an important barrier in the digital analysis of urban settings, including applications within computer vision and urban design. Diverse forms of data collected from sensors in areas of high activity in the urban environment,
Yurii Piadyk +7 more
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Implementing Cepstral Filtering Technique using Gabor Filters
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2012 Cepstral filtering technique is applied on an interlaced image, the pattern similar to that which is found in layer IV of Primate Visual Cortex. It involves Power spectrum in computation, which is square of absolute of Fast Fourier Transform (FFT), is a ...
Sheena Sharma +2 more
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Applied Sciences, 2023 Point cloud learning has recently gained strong attention due to its applications in various fields, like computer vision, robotics, and autonomous driving. Point cloud semantic segmentation (PCSS) enables the automatic extraction of semantic information
Lukas Rauch, Thomas Braml
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MAPE-ViT: multimodal scene understanding with novel wavelet-augmented Vision Transformer [PDF]
PeerJ Computer ScienceThis article introduces Multimodal Adaptive Patch Embedding with Vision Transformer (MAPE-ViT), a novel approach for RGB-D scene classification that effectively addresses fundamental challenges of sensor misalignment, depth noise, and object boundary ...
Muhammad Waqas Ahmed +6 more
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Overview of 3D Scene Viewpoints evaluation method
Virtual Reality & Intelligent Hardware, 2019 The research on 3D scene viewpoints has been a frontier problem in computer graphics and virtual reality technology. In a pioneering study, it had been extensively used in virtual scene understanding, image-based modeling, and visualization computing ...
Yan Zhang, Guangzheng Fei
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Interpreting the Structure of Single Images by Learning from Examples
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2015 An important problem in computer vision is the interpretation of the content of a single image. In our work we investigated the challenging case of recovering the underlying 3D structure of a scene from a single image, by learning from trainig data ...
Osian Haines
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ApesNet: a pixel-wise efficient segmentation network for embedded devices
IET Cyber-Physical Systems, 2016 Road scene understanding and semantic segmentation is an on-going issue for computer vision. A precise segmentation can help a machine learning model understand the real world more accurately.
Chunpeng Wu +4 more
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