Focus Is All You Need: Loss Functions For Event-based Vision [PDF]
Event cameras are novel vision sensors that output pixel-level brightness changes ("events") instead of traditional video frames. These asynchronous sensors offer several advantages over traditional cameras, such as, high temporal resolution, very high ...
Gallego, Guillermo +2 more
core +1 more source
An Efficient Neural Network for Shape from Focus with Weight Passing Method
In this paper, we suggest an efficient neural network model for shape from focus along with weight passing (WP) method. The neural network model is simplified by reducing the input data dimensions and eliminating the redundancies in the conventional ...
Hyo-Jong Kim +2 more
doaj +1 more source
Shape from Focus Based on Image Regional Pixel Reconstruction [PDF]
In order to improve the accuracy of 3D morphology image recovery,a novel method for Shape from Focus(SFF) based on max-min operator and regional pixel reconstruction is proposed.The max-min operator is used to determine the noise pixels in the image ...
ZHAO Hongsheng,DING Hua,LIU Jiancheng
doaj +1 more source
Estimating the 3D orientation of a microgripper by processing the focus data from the images delivered by a videomicroscope. [PDF]
International audienceVisual servoing is a key technique to automate microassembly tasks since videomicroscope is widely use to recovery informations about the scene. The parts as well as the gripper should be tracked in the images which do not deliver a
Dembélé, Sounkalo +3 more
core +3 more sources
3D Measurement Method for Saturated Highlight Characteristics on Surface of Fuel Nozzle
Saturated highlights on metal surfaces reduce the detection accuracy of fuel nozzles. In this paper, we propose an image inpainting method with a saturated highlight based on the statistics of similar patches used in prior segmentation of the subregion ...
Yeni Li, Liang Hou, Yun Chen
doaj +1 more source
HK segmentation of 3D micro-structures reconstructed from focus [PDF]
This paper presents an evaluation of HK segmentation on 3D micro-structures reconstructed from focus. Due to the necessity of 3D shape and surface structure information for a precise micromanipulation, shape of the object is recovered using shape from ...
Hocaoglu, Muhammet Ali +3 more
core +1 more source
Sampling Based on Kalman Filter for Shape from Focus in the Presence of Noise
Recovering three-dimensional (3D) shape of an object from two-dimensional (2D) information is one of the major domains of computer vision applications. Shape from Focus (SFF) is a passive optical technique that reconstructs 3D shape of an object using 2D
Hoon-Seok Jang +3 more
doaj +1 more source
Deep Eyes: Binocular Depth-from-Focus on Focal Stack Pairs
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.
A Newell +10 more
core +1 more source
Rational-operator-based depth-from-defocus approach to scene reconstruction [PDF]
This paper presents a rational-operator-based approach to depth from defocus (DfD) for the reconstruction of three-dimensional scenes from two-dimensional images, which enables fast DfD computation that is independent of scene textures.
Ang Li +18 more
core +1 more source
Variational Uncalibrated Photometric Stereo under General Lighting [PDF]
Photometric stereo (PS) techniques nowadays remain constrained to an ideal laboratory setup where modeling and calibration of lighting is amenable. To eliminate such restrictions, we propose an efficient principled variational approach to uncalibrated PS
Cremers, Daniel +5 more
core +3 more sources

