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Bayesian Stochastic Mesh Optimization for 3D reconstruction
We describe a mesh based approach to the problem of structure from motion. The input to the algorithm is a small set of images, sparse noisy feature correspondences (such as those provided by a Harris corner detector and cross correlation)…
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Shadows in Three-Source Photometric Stereo
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A Generative Model for Online Depth Fusion
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Reconstruction in the Round Using Photometric Normals and Silhouettes.
This paper addresses the problem of obtaining complete, detailed reconstructions of shiny textureless objects. We present an algorithm which uses silhouettes of the object, as well as images obtained under varying illumination conditions. In contrast with previous photometric stereo techniques,…
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Automatic Object Segmentation from Calibrated Images
This paper addresses the problem of automatically obtaining the object/background segmentation of a rigid 3D object observed in a set of images that have been calibrated for camera pose and intrinsics. Such segmentations can be used to obtain a shape…
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Dyna-DM: Dynamic Object-aware Self-supervised Monocular Depth Maps
Self-supervised monocular depth estimation has been a subject of intense study in recent years, because of its applications in robotics and autonomous driving. Much of the recent work focuses on improving depth estimation by increasing architecture complexity. This paper shows…
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Multi-model fitting based on minimum spanning tree
This paper presents a novel approach to the computation of primitive geometrical structures, where no prior knowledge about the visual scene is available and a high level of noise is expected. We based our work on the grouping principles of…
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Lighting-Up Geometry: Accurate 3D Modelling of Museum Artifacts with a Torch and a Camera
This paper addresses the problem of obtaining complete, very detailed reconstructions of shiny objects such as glazed ceramics. We present an algorithm which uses silhouettes of the object, as well as images obtained under changing illumination conditions. In contrast with…
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Optimization of Facade Segmentation Based on Layout Priors
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Multi-camera Torso Pose Estimation using Graph Neural Networks
Estimating the location and orientation of humans is an essential skill for service and assistive robots. To achieve a reliable estimation in a wide area such as an apartment, multiple RGBD cameras are frequently used. Firstly, these setups are relatively…