Results 21 to 30 of about 3,676,418 (303)
Lightweight Monocular Depth Estimation
CoRR, 2022 Monocular depth estimation can play an important role in addressing the issue of deriving scene geometry from 2D images. It has been used in a variety of industries, including robots, self-driving cars, scene comprehension, 3D reconstructions, and others.
Ruilin Ma, Shiyao Chen, Qin Zhang
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DTS-Depth: Real-Time Single-Image Depth Estimation Using Depth-to-Space Image Construction
Sensors, 2022 As most of the recent high-resolution depth-estimation algorithms are computationally so expensive that they cannot work in real time, the common solution is using a low-resolution input image to reduce the computational complexity.
Hatem Ibrahem +2 more
doaj +1 more source
Depth Map Decomposition for Monocular Depth Estimation
, 2022 We propose a novel algorithm for monocular depth estimation that decomposes a metric depth map into a normalized depth map and scale features. The proposed network is composed of a shared encoder and three decoders, called G-Net, N-Net, and M-Net, which estimate gradient maps, a normalized depth map, and a metric depth map, respectively.
Jinyoung Jun +3 more
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Optimized aperture shapes for depth estimation [PDF]
, 2014 The finite depth of field of a real camera can be used to estimate the depth structure of a scene. The distance of an object from the plane in focus determines the defocus blur size. The shape of the blur depends on the shape of the aperture.
Favaro, Paolo, Sellent, Anita
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A Review of Benchmark Datasets and Training Loss Functions in Neural Depth Estimation
IEEE Access, 2021 In many applications, such as robotic perception, scene understanding, augmented reality, 3D reconstruction, and medical image analysis, depth from images is a fundamentally ill-posed problem. The success of depth estimation models relies on assembling a
Faisal Khan +4 more
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Depth Estimation with Simplified Transformer
CoRR, 2022 Transformer and its variants have shown state-of-the-art results in many vision tasks recently, ranging from image classification to dense prediction. Despite of their success, limited work has been reported on improving the model efficiency for deployment in latency-critical applications, such as autonomous driving and robotic navigation.
John Yang +4 more
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, 2021 This article investigates spectral chromatic and spatial defocus aberration in a monocular hyperspectral image (HSI) and proposes methods on how these cues can be utilized for relative depth estimation. The main aim of this work is to develop a framework
Gao, Y, Zia, A, Zhou, J
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Zoom motion estimation for color and depth videos using depth information
EURASIP Journal on Image and Video Processing, 2020 In this paper, two methods of zoom motion estimation for color and depth videos by using depth information are proposed. Color and depth videos are independently estimated for zoom motion. Zoom for color video is scaled by spatial domain, and depth video
Soon-kak Kwon, Dong-seok Lee
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Object-based 2D-to-3D video conversion for effective stereoscopic content generation in 3D-TV applications [PDF]
, 2011 Three-dimensional television (3D-TV) has gained increasing popularity in the broadcasting domain, as it enables enhanced viewing experiences in comparison to conventional two-dimensional (2D) TV.
Feng, Yue, Ren, Jinchang, Jiang, Jianmin
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Recovering Occlusion Aware Depth and Image using Rotating Point Spread Function. [PDF]
, 2023 openLa stima della profondità rappresenta una sfida in qualsiasi am- bito relativo alle applicazioni di Computer Vision. In particolare, se si considerano le limitazioni delle tecniche tradizionali in fotografia.
TEZZE, ELIA
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