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Multi-view 3D reconstruction, namely, structure-from-motion followed by multi-view stereo, is a fundamental component of 3D computer vision. In general, multi-view 3D reconstruction suffers from an unknown scale ambiguity unless a reference…

Computer Vision and Pattern Recognition · Computer Science 2026-05-18 Lilika Makabe , Kohei Ashida , Hiroaki Santo , Fumio Okura , Yasuyuki Matsushita

Human visual system relies on both binocular stereo cues and monocular focusness cues to gain effective 3D perception. In computer vision, the two problems are traditionally solved in separate tracks. In this paper, we present a unified…

Computer Vision and Pattern Recognition · Computer Science 2020-08-11 Xinqing Guo , Zhang Chen , Siyuan Li , Yang Yang , Jingyi Yu

Snapshot ultrafast optical imaging (SUOI) plays a vital role in capturing complex transient events in real time, with significant implications for both fundamental science and practical applications. As an outstanding talent in SUOI,…

Depth information is useful for many applications. Active depth sensors are appealing because they obtain dense and accurate depth maps. However, due to issues that range from power constraints to multi-sensor interference, these sensors…

Image and Video Processing · Electrical Eng. & Systems 2020-02-04 James Noraky , Vivienne Sze

The Segment Anything Model (SAM) marks a notable milestone in segmentation models, highlighted by its robust zero-shot capabilities and ability to handle diverse prompts. SAM follows a pipeline that separates interactive segmentation into…

Computer Vision and Pattern Recognition · Computer Science 2024-05-30 You Huang , Zongyu Lan , Liujuan Cao , Xianming Lin , Shengchuan Zhang , Guannan Jiang , Rongrong Ji

In recent years, consumer-level depth cameras have been adopted for various applications. However, they often produce depth maps at only a moderately high frame rate (approximately 30 frames per second), preventing them from being used for…

Graphics · Computer Science 2018-11-06 Ming-Ze Yuan , Lin Gao , Hongbo Fu , Shihong Xia

An image captured with a wide-aperture camera exhibits a finite depth-of-field, with focused and defocused pixels. A compact and robust representation of focus and defocus helps analyze and manipulate such images. In this work, we study the…

Computer Vision and Pattern Recognition · Computer Science 2020-12-22 Parikshit Sakurikar , P. J. Narayanan

Differential dynamic microscopy (DDM) is increasingly used in the fields of soft matter physics and biophysics to extract the dynamics of microscopic objects across a range of wavevectors using optical microscopy. Standard DDM is limited to…

Soft Condensed Matter · Physics 2021-02-24 Ruilin You , Ryan McGorty

An array of DEPFET pixels is one of several concepts to implement an active pixel sensor. Similar to PNCCD and SDD detectors, the typically 0.45 mm thick silicon sensor is fully depleted by the principle of sideward depletion. They have…

Instrumentation and Methods for Astrophysics · Physics 2023-04-05 Norbert Meidinger , Johannes Müller-Seidlitz

Fundus photography is indispensable for clinical detection and management of eye diseases. Limited image contrast and field of view (FOV) are common limitations of conventional fundus cameras, making it difficult to detect subtle…

We present a fast and accurate method for dense depth reconstruction from sparsely sampled light fields obtained using a synchronized camera array. In our method, the source images are over-segmented into non-overlapping compact superpixels…

Image and Video Processing · Electrical Eng. & Systems 2018-12-18 Aleksandra Chuchvara , Attila Barsi , Atanas Gotchev

We propose a method to address challenges in unconstrained face detection, such as arbitrary pose variations and occlusions. First, a new image feature called Normalized Pixel Difference (NPD) is proposed. NPD feature is computed as the…

Computer Vision and Pattern Recognition · Computer Science 2015-09-08 Shengcai Liao , Anil K. Jain , Stan Z. Li

In fluorescence microscopy, spectral unmixing aims to recover individual fluorophore concentrations from spectral images that capture mixed fluorophore emissions. Since classical methods operate pixel-wise and rely on least-squares fitting,…

Computer Vision and Pattern Recognition · Computer Science 2026-03-26 Federico Carrara , Talley Lambert , Mehdi Seifi , Florian Jug

Modern smartphones can continuously stream multi-megapixel RGB images at 60Hz, synchronized with high-quality 3D pose information and low-resolution LiDAR-driven depth estimates. During a snapshot photograph, the natural unsteadiness of the…

Computer Vision and Pattern Recognition · Computer Science 2022-04-01 Ilya Chugunov , Yuxuan Zhang , Zhihao Xia , Xuaner , Zhang , Jiawen Chen , Felix Heide

A lens performs an approximately one-to-one mapping from the object to the image planes. This mapping in the image plane is maintained within a depth of field (or referred to as depth of focus, if the object is at infinity). This…

Dataset distillation has emerged as a strategy to compress real-world datasets for efficient training. However, it struggles with large-scale and high-resolution datasets, limiting its practicality. This paper introduces a novel…

Computer Vision and Pattern Recognition · Computer Science 2025-01-14 Youbing Hu , Yun Cheng , Olga Saukh , Firat Ozdemir , Anqi Lu , Zhiqiang Cao , Zhijun Li

We propose a fully asynchronous peak detection approach for SPAD-based direct time-of-flight (dToF) flash LiDAR, enabling pixel-wise event-driven depth acquisition without global synchronization. By allowing pixels to independently report…

Image and Video Processing · Electrical Eng. & Systems 2025-12-29 Yiyang Liu , Rongxuan Zhang , Istvan Gyongy , Alistair Gorman , Sarrah M. Patanwala , Filip Taneski , Robert K. Henderson

We propose and experimentally demonstrate an optical pulse sampling method for photonic blind source separation. The photonic system processes and separates wideband signals based on the statistical information of the mixed signals and thus…

Signal Processing · Electrical Eng. & Systems 2021-07-23 Taichu Shi , Yang Qi , Weipeng Zhang , Paul R. Prucnal , Jie Li , Ben Wu

3D photography is a new medium that allows viewers to more fully experience a captured moment. In this work, we refer to a 3D photo as one that displays parallax induced by moving the viewpoint (as opposed to a stereo pair with a fixed…

A novel approach towards depth map super-resolution using multi-view uncalibrated photometric stereo is presented. Practically, an LED light source is attached to a commodity RGB-D sensor and is used to capture objects from multiple…

Computer Vision and Pattern Recognition · Computer Science 2019-12-16 Lu Sang , Bjoern Haefner , Daniel Cremers