Results 31 to 40 of about 2,028,296 (276)
Sensors, 2021 In this paper, an efficient normal estimation and filtering method for depth images acquired by Time-of-Flight (ToF) cameras is proposed. The method is based on a common feature pyramid networks (FPN) architecture.
Szilárd Molnár +2 more
doaj +1 more source
Fractal and Fractional, 2023 High-quality image restoration is typically challenging due to low signal–to–background ratios (SBRs) and limited statistics frames. To address these challenges, this paper devised a method based on fractional-order total variation (FOTV) regularization ...
Da Xie +6 more
doaj +1 more source
Time-sequential Pipelined Imaging with Wavefront Coding and Super Resolution [PDF]
, 2017 Wavefront coding has long offered the prospect of mitigating optical aberrations and extended depth of field, but image quality and noise performance are inevitably reduced. We report on progress in the use of agile encoding and pipelined fusion of image
Bradburn +6 more
core +1 more source
Evaluation of CNN-based Single-Image Depth Estimation Methods [PDF]
, 2018 While an increasing interest in deep models for single-image depth estimation methods can be observed, established schemes for their evaluation are still limited.
A Saxena +6 more
core +2 more sources
Exploring depth information for head detection with depth images [PDF]
2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2016 Head detection may be more demanding than face recognition and pedestrian detection in the scenarios where a face turns away or body parts are occluded in the view of a sensor, but locating people is needed. In this paper, we introduce an efficient head detection approach for single depth images at low computational expense.
Chen, Siyuan +3 more
openaire +2 more sources
Learn to Steer through Deep Reinforcement Learning
Sensors, 2018 It is crucial for robots to autonomously steer in complex environments safely without colliding with any obstacles. Compared to conventional methods, deep reinforcement learning-based methods are able to learn from past experiences automatically and ...
Keyu Wu +3 more
doaj +1 more source
Spatio-temporal consistent depth-image-based rendering using layered depth image and inpainting [PDF]
EURASIP Journal on Image and Video Processing, 2016 Depth-image-based rendering (DIBR) is a commonly used method for synthesizing additional views using video-plus-depth (V+D) format. A critical issue with DIBR-based view synthesis is the lack of information behind foreground objects. This lack is manifested as disocclusions, holes, next to the foreground objects in rendered virtual views as a ...
Muddala, Suryanarayana +2 more
openaire +3 more sources
Optica, 2017 Temporal optics is an emerging field in which optical signals are considered similarly to objects in spatial optics. Indeed, temporal magnifications, temporal Fourier transform, and temporal signal processing have been demonstrated by adopting optical schemes from space to time.
Avi Klein +4 more
openaire +1 more source
Estimation of Walking Intension Using Centroid Variation of Lower Body Area [PDF]
한국정밀공학회지, 2017 A depth image camera is used for efficient estimation of walking intention of a pedestrian. Three-Dimensional image coordinates of the pedestrian’s joints are obtained from the image data that includes depth information and are converted into the ...
Ihn Sik Weon +4 more
doaj +1 more source
Anytime Stereo Image Depth Estimation on Mobile Devices
, 2019 Many applications of stereo depth estimation in robotics require the generation of accurate disparity maps in real time under significant computational constraints.
Campbell, Mark +6 more
core +1 more source