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We present an optical mapping near-eye (OMNI) three-dimensional display method for wearable devices. By dividing a display screen into different sub-panels and optically mapping them to various depths, we create a multiplane volumetric…

Computer Vision and Pattern Recognition · Computer Science 2017-08-02 Wei Cui , Liang Gao

Localizing objects and estimating their extent in 3D is an important step towards high-level 3D scene understanding, which has many applications in Augmented Reality and Robotics. We present ODAM, a system for 3D Object Detection,…

Computer Vision and Pattern Recognition · Computer Science 2021-08-24 Kejie Li , Daniel DeTone , Steven Chen , Minh Vo , Ian Reid , Hamid Rezatofighi , Chris Sweeney , Julian Straub , Richard Newcombe

We present a novel acousto-optic lens (AOL) design for neutral atom quantum computing. This approach enhances atom rearrangement in optical tweezer arrays and addresses the speed limitations imposed by the cylindrical lensing effect of…

We report on a new paradigm of information display that greatly extends the utility and versatility of current optoelectronic displays. The main innovation is to let a display of high refresh rate optically broadcast so-called atom frames,…

Emerging Technologies · Computer Science 2015-06-03 Xiaolin Wu , Guangtao Zhai

Existing near-eye display designs struggle to balance between multiple trade-offs such as form factor, weight, computational requirements, and battery life. These design trade-offs are major obstacles on the path towards an all-day usable…

Human-Computer Interaction · Computer Science 2021-04-09 Yuta Itoh , Takumi Kaminokado , Kaan Aksit

Volumetric segmentation is important in medical imaging, but current methods face challenges like requiring lots of manual annotations and being tailored to specific tasks, which limits their versatility. General segmentation models used…

Computer Vision and Pattern Recognition · Computer Science 2024-10-28 Zifan Chen , Xinyu Nan , Jiazheng Li , Jie Zhao , Haifeng Li , Ziling Lin , Haoshen Li , Heyun Chen , Yiting Liu , Lei Tang , Li Zhang , Bin Dong

Learning-based 3D object reconstruction enables single- or few-shot estimation of 3D object models. For robotics, this holds the potential to allow model-based methods to rapidly adapt to novel objects and scenes. Existing 3D reconstruction…

We consider the imaging problem of the reconstruction of a three-dimensional object via optical diffraction tomography under the assumptions of the Born approximation. Our focus lies in the situation that a rigid object performs an…

Numerical Analysis · Mathematics 2024-07-11 Robert Beinert , Michael Quellmalz

The highest three-dimensional (3D) resolution possible in in-vivo retinal imaging is achieved by combining optical coherence tomography (OCT) and adaptive optics (AO). However, this combination brings important limitations, such as small…

Medical Physics · Physics 2020-10-21 Jules Scholler , Kassandra Groux , Kate Grieve , Claude Boccara , Pedro Mecê

Since the history of display technologies began, people have dreamed an ultimate 3D display system. In order to get close to the dream, 3D displays should provide both of psychological and physiological cues for recognition of depth…

Graphics · Computer Science 2018-04-13 Seungjae Lee , Youngjin Jo , Dongheon Yoo , Jaebum Cho , Dukho Lee , Byoungho Lee

We report the optical imaging of a single atom with nanometer resolution using an adaptive optical alignment technique that is applicable to general optical microscopy. By decomposing the image of a single laser-cooled atom, we identify and…

Atomic Physics · Physics 2016-09-21 J. D. Wong-Campos , K. G. Johnson , B. Neyenhuis , J. Mizrahi , C. Monroe

We describe a dynamic magneto-optical trap (MOT) suitable for the use with vacuum systems in which optical access is limited to a single window. This technique facilitates the long-standing desire of producing integrated atom chips, many of…

Atomic Physics · Physics 2016-11-28 Jo Rushton , Ritayan Roy , James Bateman , Matt Himsworth

Optical Deflectometric Tomography (ODT) provides an accurate characterization of transparent materials whose complex surfaces present a real challenge for manufacture and control. In ODT, the refractive index map (RIM) of a transparent…

Computer Vision and Pattern Recognition · Computer Science 2013-10-31 Adriana Gonzalez , Laurent Jacques , Christophe De Vleeschouwer , Philippe Antoine

An algorithm for pose and motion estimation using corresponding features in omnidirectional images and a digital terrain map is proposed. In previous paper, such algorithm for regular camera was considered. Using a Digital Terrain (or…

Computer Vision and Pattern Recognition · Computer Science 2011-08-17 Ronen Lerner , Oleg Kupervasser , Ehud Rivlin

Stereoscopic projection mapping (PM) allows a user to see a three-dimensional (3D) computer-generated (CG) object floating over physical surfaces of arbitrary shapes around us using projected imagery. However, the current stereoscopic PM…

Computer Vision and Pattern Recognition · Computer Science 2021-10-18 Sorashi Kimura , Daisuke Iwai , Parinya Punpongsanon , Kosuke Sato

We propose a novel method to implement an optical see-through head mounted display which renders real aerial images with a wide viewing angle, called an Air Mounted Eyepiece (AME). To achieve the AMD design, we employ an off-the-shelf head…

Human-Computer Interaction · Computer Science 2017-10-12 Yoichi Ochiai , Kazuki Otao , Hiroyuki Osone

We present ATOP (Articulate That Object Part), a novel few-shot method based on motion personalization to articulate a static 3D object with respect to a part and its motion as prescribed in a text prompt. Given the scarcity of available…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Aditya Vora , Sauradip Nag , Kai Wang , Hao Zhang

We demonstrate an optical phased-array (OPA) equipped with a 3D-printed facet-attached element for shaping and deflection of the emitted beam. The beam shaper combines freeform refractive surfaces with total-internal-reflection (TIR)…

Despite that the segment anything model (SAM) achieved impressive results on general-purpose semantic segmentation with strong generalization ability on daily images, its demonstrated performance on medical image segmentation is less…

Computer Vision and Pattern Recognition · Computer Science 2024-10-03 Shizhan Gong , Yuan Zhong , Wenao Ma , Jinpeng Li , Zhao Wang , Jingyang Zhang , Pheng-Ann Heng , Qi Dou

Diffraction gratings integrated into an atomic, molecular, and optical (AMO) setup offer a compact and efficient route toward atom cooling and trapping, thus preparing magneto-optical traps (MOT) for insertion into future scalable quantum…

Optics · Physics 2025-03-18 Elaheh Karooby , Jiazhen Li , Amit Agrawal , Qing Gu
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