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相关论文: Alternative Approach to 3D Displaying

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X-ray tomography is a powerful volumetric imaging technique, but detailed three dimensional (3D) imaging requires the acquisition of a large number of individual X-ray images, which is time consuming. For applications where spatial…

图像与视频处理 · 电气工程与系统科学 2023-02-28 Zhenduo Shang , Thomas Blumensath

The aim of our paper is to render an object in 3-dimension using a set of its orthographic views. Corner detector (Harris Detector) is applied on the input views to obtain control points. These control points are projected perpendicular to…

计算机视觉与模式识别 · 计算机科学 2026-04-01 Sunil Tiwari , Payal Fofadiya , Vicky Vishwakarma

Pseudoscopic enlarged images are obtained by projecting diffraction-encoded images onto a diffractive screen

光学 · 物理学 2013-05-17 Jose J. Lunazzi

Existing single view, 3D face reconstruction methods can produce beautifully detailed 3D results, but typically only for near frontal, unobstructed viewpoints. We describe a system designed to provide detailed 3D reconstructions of faces…

计算机视觉与模式识别 · 计算机科学 2018-04-02 Anh Tuan Tran , Tal Hassner , Iacopo Masi , Eran Paz , Yuval Nirkin , Gerard Medioni

We present an approach that learns to synthesize high-quality, novel views of 3D objects or scenes, while providing fine-grained and precise control over the 6-DOF viewpoint. The approach is self-supervised and only requires 2D images and…

计算机视觉与模式识别 · 计算机科学 2019-09-10 Xu Chen , Jie Song , Otmar Hilliges

Coherent X-ray diffraction microscopy is a method of imaging non-periodic isolated objects at resolutions only limited, in principle, by the largest scattering angles recorded. We demonstrate X-ray diffraction imaging with high resolution…

The problem of identifying the 3D pose of a known object from a given 2D image has important applications in Computer Vision. Our proposed method of registering a 3D model of a known object on a given 2D photo of the object has numerous…

计算机视觉与模式识别 · 计算机科学 2013-12-02 Srimal Jayawardena , Marcus Hutter , Nathan Brewer

We propose a scene-level inverse rendering framework that uses multi-view images to decompose the scene into geometry, a SVBRDF, and 3D spatially-varying lighting. Because multi-view images provide a variety of information about the scene,…

计算机视觉与模式识别 · 计算机科学 2023-03-28 JunYong Choi , SeokYeong Lee , Haesol Park , Seung-Won Jung , Ig-Jae Kim , Junghyun Cho

We demonstrate a compact and easy-to-build computational camera for single-shot 3D imaging. Our lensless system consists solely of a diffuser placed in front of a standard image sensor. Every point within the volumetric field-of-view…

计算机视觉与模式识别 · 计算机科学 2017-10-06 Nick Antipa , Grace Kuo , Reinhard Heckel , Ben Mildenhall , Emrah Bostan , Ren Ng , Laura Waller

We present topological derivative and energy based procedures for the imaging of micro and nanostructures using one beam of visible light of a single wavelength. Objects with diameters as small as 10 nm can be located, and their position…

生物物理 · 物理学 2016-10-04 A. Carpio , T. G. Dimiduk , M. L. Rapun , V. Selgas

We present VIINTER, a method for view interpolation by interpolating the implicit neural representation (INR) of the captured images. We leverage the learned code vector associated with each image and interpolate between these codes to…

计算机视觉与模式识别 · 计算机科学 2022-11-03 Brandon Yushan Feng , Susmija Jabbireddy , Amitabh Varshney

Recovering the shape and appearance of real-world objects from natural 2D images is a long-standing and challenging inverse rendering problem. In this paper, we introduce a novel hybrid differentiable rendering method to efficiently…

计算机视觉与模式识别 · 计算机科学 2023-08-22 Xiangyang Zhu , Yiling Pan , Bailin Deng , Bin Wang

3D object detection is vital as it would enable us to capture objects' sizes, orientation, and position in the world. As a result, we would be able to use this 3D detection in real-world applications such as Augmented Reality (AR),…

计算机视觉与模式识别 · 计算机科学 2022-12-23 Abonia Sojasingarayar , Ashish Patel

We present a differentiable volume rendering solution that provides differentiability of all continuous parameters of the volume rendering process. This differentiable renderer is used to steer the parameters towards a setting with an…

图形学 · 计算机科学 2022-07-26 Sebastian Weiss , Rüdiger Westermann

Imaging through diffusers presents a challenging problem with various digital image reconstruction solutions demonstrated to date using computers. We present a computer-free, all-optical image reconstruction method to see through random…

光学 · 物理学 2022-01-28 Yi Luo , Yifan Zhao , Jingxi Li , Ege Cetintas , Yair Rivenson , Mona Jarrahi , Aydogan Ozcan

Volumetric optical microscopy using non-diffracting beams enables rapid imaging of 3D volumes by projecting them axially to 2D images but lacks crucial depth information. Addressing this, we introduce MicroDiffusion, a pioneering tool…

图像与视频处理 · 电气工程与系统科学 2024-03-19 Mude Hui , Zihao Wei , Hongru Zhu , Fei Xia , Yuyin Zhou

Scattering, especially multiple scattering, is a well known problem in imaging, ranging from astronomy to medicine. In particular it is often desirable to be able to perform non-invasive imaging through turbid and/or opaque media. Many…

光学 · 物理学 2024-04-23 Harry Penketh , Jacopo Bertolotti

Structured-light three-dimensional (3D) imaging can achieve 3D shape of a stationary object via one or more pixelated array cameras with phase-shifting illumination. In order to extend 3D imaging to moving scenarios, we propose a 3D imaging…

图像与视频处理 · 电气工程与系统科学 2019-05-01 Wen-Kai Yu

Medical visualization is the use of computers to create 3D images from medical imaging data sets, almost all surgery and cancer treatment in the developed world relies on it.Volume visualization techniques includes iso-surface…

图形学 · 计算机科学 2018-02-22 Wenhui Zhang

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…

图形学 · 计算机科学 2018-04-13 Seungjae Lee , Youngjin Jo , Dongheon Yoo , Jaebum Cho , Dukho Lee , Byoungho Lee