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In this work, we propose proLab: a new colour coordinate system derived as a 3D projective transformation of CIE XYZ. We show that proLab is far ahead of the widely used CIELAB coordinate system (though inferior to the modern CAM16-UCS)…

Computer Vision and Pattern Recognition · Computer Science 2021-01-12 Ivan A. Konovalenko , Anna A. Smagina , Dmitry P. Nikolaev , Petr P. Nikolaev

Digital cameras and displays utilise picture elements (pixels) that perform a single function: detecting or emitting light intensity. To exploit the full information content of electromagnetic waves, more advanced elements are required.…

The raise of collaborative robotics has led to wide range of sensor technologies to detect human-machine interactions: at short distances, proximity sensors detect nontactile gestures virtually occlusion-free, while at medium distances,…

Computer Vision and Pattern Recognition · Computer Science 2019-10-17 Christoph Heindl , Markus Ikeda , Gernot Stübl , Andreas Pichler , Josef Scharinger

We propose a new scheme for recovery of complex valued object in a single-pixel hybrid correlation holography. Idea is to generate an intensity correlation hologram by correlation of the intensity of a single pixel detector and digitally…

Optics · Physics 2018-11-21 Ziyang Chen , Darshika Singh , Rakesh Kumar Singh , Jixiong Pu

We present a compact, diffuser-assisted, single-pixel computational camera. A rotating ground glass diffuser is adopted, in preference to a commonly used digital micro-mirror device (DMD), to encode a two-dimensional (2D) image into…

Optics · Physics 2021-11-04 Baolei Liu , Fan Wang , Chaohao Chen , David McGloin

Polarization imaging is a technique that creates a pixel map of the polarization state in a scene. Although invisible to the human eye, polarization can assist various sensing and computer vision tasks. Existing polarization cameras use…

Image and Video Processing · Electrical Eng. & Systems 2026-03-19 Noa Kraicer , Shay Elmalem , Erez Yosef , Hani Barhum , Raja Giryes

Computational photography involves sophisticated capture methods. A new trend is to capture projection of higher dimensional visual signals such as videos, multi-spectral data and lightfields on lower dimensional sensors. Carefully designed…

Computer Vision and Pattern Recognition · Computer Science 2011-09-12 Rohit Pandharkar , Ashok Veeraraghavan , Ramesh Raskar

The color X-ray camera SLcam(R) is a full-field, single photon detector providing scanning free, energy and spatially resolved X-ray imaging. Spatial resolution is achieved with the use of polycapillary optics guiding X-ray photons from…

Reinterpretable cameras are defined by their post-processing capabilities that exceed traditional imaging. We present "SoDaCam" that provides reinterpretable cameras at the granularity of photons, from photon-cubes acquired by single-photon…

Computer Vision and Pattern Recognition · Computer Science 2023-09-11 Varun Sundar , Andrei Ardelean , Tristan Swedish , Claudio Bruschini , Edoardo Charbon , Mohit Gupta

A minimalist vision system uses the smallest number of pixels needed to solve a vision task. While traditional cameras use a large grid of square pixels, a minimalist camera uses freeform pixels that can take on arbitrary shapes to increase…

Computer Vision and Pattern Recognition · Computer Science 2025-04-29 Jeremy Klotz , Shree K. Nayar

Set projection algorithms are a class of algorithms used in ptychography to help improve the quality of the reconstructed images. The set projection step is important because it helps to ensure that the reconstructed image satisfies the…

Signal Processing · Electrical Eng. & Systems 2023-11-21 Wenjie Mei , Andrew M. Maiden

This paper presents a novel multimodal perception system for a real open environment. The proposed system includes an embedded computation platform, cameras, ultrasonic sensors, GPS, and IMU devices. Unlike the traditional frameworks, our…

Robotics · Computer Science 2024-12-03 Yuyang Sha

We introduce the distributed camera model, a novel model for Structure-from-Motion (SfM). This model describes image observations in terms of light rays with ray origins and directions rather than pixels. As such, the proposed model is…

Computer Vision and Pattern Recognition · Computer Science 2016-12-02 Chris Sweeney , Victor Fragoso , Tobias Hollerer , Matthew Turk

The design and evaluation of complex systems can benefit from a software simulation - sometimes called a digital twin. The simulation can be used to characterize system performance or to test its performance under conditions that are…

Computer Vision and Pattern Recognition · Computer Science 2023-03-14 Zhenyi Liu , Devesh Shah , Alireza Rahimpour , Devesh Upadhyay , Joyce Farrell , Brian A Wandell

Event cameras are a new type of sensors that are different from traditional cameras. Each pixel is triggered asynchronously by event. The trigger event is the change of the brightness irradiated on the pixel. If the increment or decrement…

Robotics · Computer Science 2022-02-09 Kun Xiao , Guohui Wang , Yi Chen , Yongfeng Xie , Hong Li , Sen Li

We present a method for projecting an input image into the space of a class-conditional generative neural network. We propose a method that optimizes for transformation to counteract the model biases in generative neural networks.…

Computer Vision and Pattern Recognition · Computer Science 2020-08-31 Minyoung Huh , Richard Zhang , Jun-Yan Zhu , Sylvain Paris , Aaron Hertzmann

Stretchcam is a thin camera with a lens capable of zooming with small actuations. In our design, an elastic lens array is placed on top of a sparse, rigid array of pixels. This lens array is then stretched using a small mechanical motion in…

Optics · Physics 2018-04-20 Daniel C. Sims , Oliver Cossairt , Yonghao Yu , Shree K. Nayar

Event cameras are bio-inspired sensors that perform well in challenging illumination conditions and have high temporal resolution. However, their concept is fundamentally different from traditional frame-based cameras. The pixels of an…

Computer Vision and Pattern Recognition · Computer Science 2022-06-13 Xin Peng , Ling Gao , Yifu Wang , Laurent Kneip

Event cameras are bio-inspired vision sensors that output pixel-level brightness changes instead of standard intensity frames. These cameras do not suffer from motion blur and have a very high dynamic range, which enables them to provide…

Computer Vision and Pattern Recognition · Computer Science 2018-04-06 Antoni Rosinol Vidal , Henri Rebecq , Timo Horstschaefer , Davide Scaramuzza

This work presents a flexible system to reconstruct 3D models of objects captured with an RGB-D sensor. A major advantage of the method is that our reconstruction pipeline allows the user to acquire a full 3D model of the object. This is…

Computer Vision and Pattern Recognition · Computer Science 2015-05-22 Aitor Aldoma , Johann Prankl , Alexander Svejda , Markus Vincze