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Indirect Time-of-Flight cameras (iToF) are low-cost devices that provide depth images at an interactive frame rate. However, they are affected by different error sources, with the spotlight taken by Multi-Path Interference (MPI), a key…

Computer Vision and Pattern Recognition · Computer Science 2021-11-30 Adriano Simonetto , Gianluca Agresti , Pietro Zanuttigh , Henrik Schäfer

Time-of-flight (ToF) imaging has become a widespread technique for depth estimation, allowing affordable off-the-shelf cameras to provide depth maps in real time. However, multipath interference (MPI) resulting from indirect illumination…

Time-of-Flight (ToF) cameras are becoming popular in a wide span of areas ranging from consumer-grade electronic devices to safety-critical industrial robots. This is mainly due to their high frame rate, relative good precision and the…

Computer Vision and Pattern Recognition · Computer Science 2023-12-20 Marian-Leontin Pop , Levente Tamas

Indirect Time-of-Flight (iToF) cameras are a promising depth sensing technology. However, they are prone to errors caused by multi-path interference (MPI) and low signal-to-noise ratio (SNR). Traditional methods, after denoising, mitigate…

Computer Vision and Pattern Recognition · Computer Science 2021-12-22 Felipe Gutierrez-Barragan , Huaijin Chen , Mohit Gupta , Andreas Velten , Jinwei Gu

Time-of-flight (ToF) cameras calculate depth maps by reconstructing phase shifts of amplitude-modulated signals. For broad illumination or transparent objects, reflections from multiple scene points can illuminate a given pixel, giving rise…

Computer Vision and Pattern Recognition · Computer Science 2014-06-20 Ayush Bhandari , Achuta Kadambi , Refael Whyte , Christopher Barsi , Micha Feigin , Adrian Dorrington , Ramesh Raskar

Indirect time-of-flight (iToF) imaging allows us to capture dense depth information at a low cost. However, iToF imaging often suffers from multipath interference (MPI) artifacts in the presence of scattering media, resulting in severe…

Computer Vision and Pattern Recognition · Computer Science 2023-07-03 Daniel S. Jeon , Andreas Meuleman , Seung-Hwan Baek , Min H. Kim

A variety of techniques such as light field, structured illumination, and time-of-flight (TOF) are commonly used for depth acquisition in consumer imaging, robotics and many other applications. Unfortunately, each technique suffers from its…

Computer Vision and Pattern Recognition · Computer Science 2015-09-03 Suren Jayasuriya , Adithya Pediredla , Sriram Sivaramakrishnan , Alyosha Molnar , Ashok Veeraraghavan

Range images captured by Time-of-Flight (ToF) cameras are corrupted with multipath distortions due to interaction between modulated light signals and scenes. The interaction is often complicated, which makes a model-based solution elusive.…

Computer Vision and Pattern Recognition · Computer Science 2016-02-24 Kilho Son , Ming-Yu Liu , Yuichi Taguchi

Indirect Time-of-Flight (I-ToF) imaging is a widespread way of depth estimation for mobile devices due to its small size and affordable price. Previous works have mainly focused on quality improvement for I-ToF imaging especially curing the…

Computer Vision and Pattern Recognition · Computer Science 2022-06-17 HyunJun Jung , Nikolas Brasch , Ales Leonardis , Nassir Navab , Benjamin Busam

We introduce Mask-ToF, a method to reduce flying pixels (FP) in time-of-flight (ToF) depth captures. FPs are pervasive artifacts which occur around depth edges, where light paths from both an object and its background are integrated over…

Image and Video Processing · Electrical Eng. & Systems 2021-04-01 Ilya Chugunov , Seung-Hwan Baek , Qiang Fu , Wolfgang Heidrich , Felix Heide

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

Time-of-flight (TOF) cameras are sensors that can measure the depths of scene-points, by illuminating the scene with a controlled laser or LED source, and then analyzing the reflected light. In this paper, we will first describe the…

Computer Vision and Pattern Recognition · Computer Science 2020-12-15 Radu Horaud , Miles Hansard , Georgios Evangelidis , Clement Menier

Indirect Time-of-Flight (iToF) cameras are a widespread type of 3D sensor, which perform multiple captures to obtain depth values of the captured scene. While recent approaches to correct iToF depths achieve high performance when removing…

Computer Vision and Pattern Recognition · Computer Science 2022-10-20 Michael Schelling , Pedro Hermosilla , Timo Ropinski

In-camera light scattering is a typical form of non-systematic interference in indirect Time-of-Flight (iToF) cameras, primarily caused by multiple reflections and optical path variations within the camera body. This effect can…

Optics · Physics 2025-11-05 Yansong Du , Jingtong Yao , Yuting Zhou , Feiyu Jiao , Zhaoxiang Jiang , Xun Guan

Time-of-flight (ToF) sensors provide an imaging modality fueling diverse applications, including LiDAR in autonomous driving, robotics, and augmented reality. Conventional ToF imaging methods estimate the depth by sending pulses of light…

Computer Vision and Pattern Recognition · Computer Science 2021-12-20 Seung-Hwan Baek , Felix Heide

Depth cameras are emerging as a cornerstone modality with diverse applications that directly or indirectly rely on measured depth, including personal devices, robotics, and self-driving vehicles. Although time-of-flight (ToF) methods have…

Computer Vision and Pattern Recognition · Computer Science 2021-05-26 Seung-Hwan Baek , Noah Walsh , Ilya Chugunov , Zheng Shi , Felix Heide

We propose a novel compressed sensing method to improve the depth reconstruction accuracy and multi-target separation capability of indirect Time-of-Flight (iToF) systems. Unlike traditional approaches that rely on hardware modifications,…

Signal Processing · Electrical Eng. & Systems 2025-07-29 Yansong Du , Yutong Deng , Yuting Zhou , Feiyu Jiao , Bangyao Wang , Zhancong Xu , Zhaoxiang Jiang , Xun Guan

A major issue with Time of Flight sensors is the presence of multipath interference. We present Sparse Reflections Analysis (SRA), an algorithm for removing this interference which has two main advantages. First, it allows for very general…

Computer Vision and Pattern Recognition · Computer Science 2014-03-25 Daniel Freedman , Eyal Krupka , Yoni Smolin , Ido Leichter , Mirko Schmidt

We introduce Doppler time-of-flight (D-ToF) rendering, an extension of ToF rendering for dynamic scenes, with applications in simulating D-ToF cameras. D-ToF cameras use high-frequency modulation of illumination and exposure, and measure…

Graphics · Computer Science 2023-10-06 Juhyeon Kim , Wojciech Jarosz , Ioannis Gkioulekas , Adithya Pediredla

We present a novel method to correct flying pixels within data captured by Time-of-flight (ToF) sensors. Flying pixel (FP) artifacts occur when signals from foreground and background objects reach the same sensor pixel, leading to a…

Image and Video Processing · Electrical Eng. & Systems 2024-10-11 Ekamresh Vasudevan , Shashank N. Sridhara , Eduardo Pavez , Antonio Ortega , Raghavendra Singh , Srinath Kalluri
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