Results 41 to 50 of about 4,616,264 (348)
Semi-Supervised Deep Learning for Monocular Depth Map Prediction [PDF]
Computer Vision and Pattern Recognition, 2017 Supervised deep learning often suffers from the lack of sufficient training data. Specifically in the context of monocular depth map prediction, it is barely possible to determine dense ground truth depth images in realistic dynamic outdoor environments.
Yevhen Kuznietsov +2 more
semanticscholar +1 more source
Depth Mapping for Stereoscopic Videos [PDF]
International Journal of Computer Vision, 2012 Stereoscopic videos have become very popular in recent years. Most of these videos are developed primarily for viewing on large screens located at some distance away from the viewer. If we watch these videos on a small screen located near to us, the depth range of the videos will be seriously reduced, which can significantly degrade the 3D effects of ...
Tao Yan 0001 +3 more
openaire +1 more source
Noise-Resilient Depth Estimation for Light Field Images Using Focal Stack and FFT Analysis
Sensors, 2022 Depth estimation for light field images is essential for applications such as light field image compression, reconstructing perspective views and 3D reconstruction.
Rishabh Sharma, Stuart Perry, Eva Cheng
doaj +1 more source
Directional Ring Difference Filter for Robust Shape-from-Focus
Mathematics, 2023 In the shape-from-focus (SFF) method, the quality of the 3D shape generated relies heavily on the focus measure operator (FM) used. Unfortunately, most FMs are sensitive to noise and provide inaccurate depth maps.
Khurram Ashfaq, Muhammad Tariq Mahmood
doaj +1 more source
V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 Most of the existing deep learning-based methods for 3D hand and human pose estimation from a single depth map are based on a common framework that takes a 2D depth map and directly regresses the 3D coordinates of keypoints, such as hand or human body ...
Gyeongsik Moon +2 more
semanticscholar +1 more source
Rational filter design for depth from defocus [PDF]
, 2012 The paper describes a new, simple procedure to determine the rational filters that are used in the depth from defocus (DfD) procedure previously researched by Watanabe and Nayar [4].
Joseph Raj, Alex Noel +3 more
core +1 more source
Future Internet, 2019 When it comes to evaluating perceptual quality of digital media for overall quality of experience assessment in immersive video applications, typically two main approaches stand out: Subjective and objective quality evaluation.
Safak Dogan +3 more
doaj +1 more source
IET Image Processing, 2023 The effective integration of RGB and depth map features to improve the performance of RGB‐D salient object detection (SOD) has garnered significant research interest.
Lingbing Meng +5 more
doaj +1 more source
Deep-Learning and Depth-Map Based Approach for Detection and 3-D Localization of Small Traffic Signs
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 The three-dimensional (3-D) geographic locations of street furniture, such as traffic signs, comprise the basic content of 3-D city construction, and such information is indispensable for periodic statistics for road management and maintenance.
Lirong Liu +6 more
doaj +1 more source
Equal Baseline Camera Array—Calibration, Testbed and Applications
Applied Sciences, 2021 This paper presents research on 3D scanning by taking advantage of a camera array consisting of up to five adjacent cameras. Such an array makes it possible to make a disparity map with a higher precision than a stereo camera, however it preserves the ...
Adam L. Kaczmarek, Bernhard Blaschitz
doaj +1 more source