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Scene motion, multiple reflections, and sensor noise introduce artifacts in the depth reconstruction performed by time-of-flight cameras. We propose a two-stage, deep-learning approach to address all of these sources of artifacts…

Computer Vision and Pattern Recognition · Computer Science 2018-07-30 Qi Guo , Iuri Frosio , Orazio Gallo , Todd Zickler , Jan Kautz

Depth map enhancement using paired high-resolution RGB images offers a cost-effective solution for improving low-resolution depth data from lightweight ToF sensors. Nevertheless, naively adopting a depth estimation pipeline to fuse the two…

Computer Vision and Pattern Recognition · Computer Science 2025-06-18 Laiyan Ding , Hualie Jiang , Jiwei Chen , Rui Huang

Dense real-time tracking and mapping from RGB-D images is an important tool for many robotic applications, such as navigation and manipulation. The recently presented Directional Truncated Signed Distance Function (DTSDF) is an augmentation…

Computer Vision and Pattern Recognition · Computer Science 2023-01-31 Malte Splietker , Sven Behnke

The Multipath effect in Time-of-Flight(ToF) cameras still remains to be a challenging problem that hinders further processing of 3D data information. Based on the evidence from previous literature, we explored the possibility of using…

Computer Vision and Pattern Recognition · Computer Science 2016-01-13 Mojmir Mutny , Rahul Nair , Jens-Malte Gottfried

Lightweight direct Time-of-Flight (dToF) sensors are ideal for 3D sensing on mobile devices. However, due to the manufacturing constraints of compact devices and the inherent physical principles of imaging, dToF depth maps are sparse and…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Xuan Zhu , Jijun Xiang , Xianqi Wang , Longliang Liu , Yu Wang , Hong Zhang , Fei Guo , Xin Yang

We present a novel single-shot interferometric ToF camera targeted for precise 3D measurements of dynamic objects. The camera concept is based on Synthetic Wavelength Interferometry, a technique that allows retrieval of depth maps of…

Computer Vision and Pattern Recognition · Computer Science 2022-12-05 Manuel Ballester , Heming Wang , Jiren Li , Oliver Cossairt , Florian Willomitzer

Optical imaging through diffusive, visually-opaque barriers, and around corners is an important challenge in many fields, ranging from defense to medical applications. Recently, novel techniques that combine time-of-flight (TOF)…

Optics · Physics 2023-05-12 Jeremy Boger-Lombard , Ori Katz

The acquisition of objects outside the Line-of-Sight of cameras is a very intriguing but also extremely challenging research topic. Recent works showed the feasibility of this idea exploiting transient imaging data produced by custom direct…

Computer Vision and Pattern Recognition · Computer Science 2024-09-23 Matteo Caligiuri , Adriano Simonetto , Pietro Zanuttigh

In this paper, a novel amplitude-modulated continuous wave (AMCW) time-of-flight (ToF) scanning sensor based on digital-parallel demodulation is proposed and demonstrated in the aspect of distance measurement precision. Since…

Signal Processing · Electrical Eng. & Systems 2023-04-25 Sung-Hyun Lee , Wook-Hyeon Kwon , Yoon-Seop Lim , Yong-Hwa Park

Sparse active illumination enables precise time-of-flight depth sensing as it maximizes signal-to-noise ratio for low power budgets. However, depth completion is required to produce dense depth maps for 3D perception. We address this task…

Computer Vision and Pattern Recognition · Computer Science 2022-05-26 Xiaowen Jiang , Valerio Cambareri , Gianluca Agresti , Cynthia Ifeyinwa Ugwu , Adriano Simonetto , Fabien Cardinaux , Pietro Zanuttigh

We introduce pulsed correlation time-of-flight (PC-ToF) sensing, a new operation mode for correlation time-of-flight range sensors that combines a sub-nanosecond laser pulse source with a rectangular demodulation at the sensor side. In…

Image and Video Processing · Electrical Eng. & Systems 2019-09-09 Sebastian Werner , Henrik Schäfer , Matthias Hullin

In this paper, a marker-based, single-person optical motion capture method (DeepMoCap) is proposed using multiple spatio-temporally aligned infrared-depth sensors and retro-reflective straps and patches (reflectors). DeepMoCap explores…

Computer Vision and Pattern Recognition · Computer Science 2021-10-15 Anargyros Chatzitofis , Dimitrios Zarpalas , Stefanos Kollias , Petros Daras

Light scattering by tissue severely limits how deep beneath the surface one can image, and the spatial resolution one can obtain from these images. Diffuse optical tomography (DOT) is one of the most powerful techniques for imaging deep…

Image and Video Processing · Electrical Eng. & Systems 2021-05-31 Yongyi Zhao , Ankit Raghuram , Hyun K. Kim , Andreas H. Hielscher , Jacob T. Robinson , Ashok Veeraraghavan

We present a method to reconstruct dynamic scenes from monocular continuous-wave time-of-flight (C-ToF) cameras using raw sensor samples that achieves similar or better accuracy than neural volumetric approaches and is 100x faster. Quickly…

We present TIMo (Time-of-flight Indoor Monitoring), a dataset for video-based monitoring of indoor spaces captured using a time-of-flight (ToF) camera. The resulting depth videos feature people performing a set of different predefined…

Computer Vision and Pattern Recognition · Computer Science 2021-08-30 Pascal Schneider , Yuriy Anisimov , Raisul Islam , Bruno Mirbach , Jason Rambach , Frédéric Grandidier , Didier Stricker

Under-display ToF imaging aims to achieve accurate depth sensing through a ToF camera placed beneath a screen panel. However, transparent OLED (TOLED) layers introduce severe degradations-such as signal attenuation, multi-path interference…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Xin Qiao , Matteo Poggi , Xing Wei , Pengchao Deng , Yanhui Zhou , Stefano Mattoccia

While current multi-frame restoration methods combine information from multiple input images using 2D alignment techniques, recent advances in novel view synthesis are paving the way for a new paradigm relying on volumetric scene…

Computer Vision and Pattern Recognition · Computer Science 2023-04-06 Thomas Tanay , Aleš Leonardis , Matteo Maggioni

We introduce an interferometric technique for passive time-of-flight imaging and depth sensing at micrometer axial resolutions. Our technique uses a full-field Michelson interferometer, modified to use sunlight as the only light source. The…

Computer Vision and Pattern Recognition · Computer Science 2023-03-29 Alankar Kotwal , Anat Levin , Ioannis Gkioulekas

The Diffusion Model (DM) has emerged as the SOTA approach for image synthesis. However, the existing DM cannot perform well on some image-to-image translation (I2I) tasks. Different from image synthesis, some I2I tasks, such as…

Computer Vision and Pattern Recognition · Computer Science 2023-08-29 Bin Xia , Yulun Zhang , Shiyin Wang , Yitong Wang , Xinglong Wu , Yapeng Tian , Wenming Yang , Radu Timotfe , Luc Van Gool

Diffusion tensor imaging (DTI) holds significant importance in clinical diagnosis and neuroscience research. However, conventional model-based fitting methods often suffer from sensitivity to noise, leading to decreased accuracy in…

Computer Vision and Pattern Recognition · Computer Science 2024-09-05 Jialong Li , Zhicheng Zhang , Yunwei Chen , Qiqi Lu , Ye Wu , Xiaoming Liu , QianJin Feng , Yanqiu Feng , Xinyuan Zhang