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Found 15 papers, 1 papers with code
TaCOS: Task-Specific Camera Optimization with Simulation
With cameras playing a pivotal role in robotic perception, we introduce a novel end-to-end optimization approach for co-designing a camera with specific robotic tasks by combining derivative-free and gradient-based optimizers.
Adapting CNNs for Fisheye Cameras without Retraining
The issue arises that these large-FOV images can't be rectified to a perspective projection without significant cropping of the original image.
The Need for Inherently Privacy-Preserving Vision in Trustworthy Autonomous Systems
Vision is a popular and effective sensor for robotics from which we can derive rich information about the environment: the geometry and semantics of the scene, as well as the age, gender, identity, activity and even emotional state of humans within that scene.
NOCaL: Calibration-Free Semi-Supervised Learning of Odometry and Camera Intrinsics
This work represents a key step toward automating the interpretation of general camera geometries and emerging imaging technologies.
BuFF: Burst Feature Finder for Light-Constrained 3D Reconstruction
Robots operating at night using conventional vision cameras face significant challenges in reconstruction due to noise-limited images.
Semantically Accurate Super-Resolution Generative Adversarial Networks
This work addresses the problems of semantic segmentation and image super-resolution by jointly considering the performance of both in training a Generative Adversarial Network (GAN).
Burst Imaging for Light-Constrained Structure-From-Motion
Images captured under extremely low light conditions are noise-limited, which can cause existing robotic vision algorithms to fail.
Refractive Light-Field Features for Curved Transparent Objects in Structure from Motion
Curved refractive objects are common in the human environment, and have a complex visual appearance that can cause robotic vision algorithms to fail.
Unsupervised Learning of Depth Estimation and Visual Odometry for Sparse Light Field Cameras
We anticipate our technique to generalise to a broad class of LF and sparse LF cameras, and to enable unsupervised recalibration for coping with shifts in camera behaviour over the lifetime of a robot.
Multiplexed Illumination for Classifying Visually Similar Objects
We use the light stage to model and synthetically relight training samples, and propose a greedy pattern selection scheme that exploits this ability to train in simulation.
LiFF: Light Field Features in Scale and Depth
Feature detectors and descriptors are key low-level vision tools that many higher-level tasks build on.
A Wide-Field-Of-View Monocentric Light Field Camera
Finally, we describe a processing toolchain, including a convenient spherical LF parameterization, and demonstrate depth estimation and post-capture refocus for indoor and outdoor panoramas with 15 x 15 x 1600 x 200 pixels (72 MPix) and a 138-degree FOV.
Mirrored Light Field Video Camera Adapter
This paper proposes the design of a custom mirror-based light field camera adapter that is cheap, simple in construction, and accessible.
Richardson-Lucy Deblurring for Moving Light Field Cameras
The method deals correctly with blur caused by 6-degree-of-freedom camera motion in complex 3-D scenes, without performing depth estimation.
Decoding, Calibration and Rectification for Lenselet-Based Plenoptic Cameras
Results include calibration of a commercially available camera using three calibration grid sizes over five datasets.
