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Multiview Photometric Stereo
This paper addresses the problem of obtaining complete, detailed reconstructions of textureless shiny objects. We present an algorithm which uses silhouettes of the object, as well as images obtained under changing illumination conditions. In contrast with previous photometric stereo techniques,…
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Multiview Stereo via Volumetric Graph-Cuts and Occlusion Robust Photo-Consistency
This paper presents a volumetric formulation for the multi-view stereo problem which is amenable to a computationally tractable global optimisation using Graph-cuts. Our approach is to seek the optimal partitioning of 3D space into two regions labelled as “object” and…
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An Efficient Industrial System for Vehicle Tyre (Tire) Detection and Text Recognition Using Deep Learning
This paper addresses the challenge of reading low contrast text on tyre sidewall images of vehicles in motion. It presents first of its kind, a full scale industrial system which can read tyre codes when installed along driveways such as…
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Overcoming Shadows in 3-Source Photometric Stereo
Light occlusions are one of the most significant difficulties of photometric stereo methods. When three or more images are available without occlusion, the local surface orientation is overdetermined so that shape can be computed and the shadowed pixels can be…
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Learning an augmentation strategy for sparse datasets
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A dual-aligned knowledge self-distillation framework for visible-infrared cross-modal person re-identification
• Dual alignment knowledge self-distillation to better capture modality-invariant/specific features for VI-ReID • Temperature-modulated alignment and confidence-based selective masking to enhance model reliability. • CutSwap augmentation to improve model robustness against intra-class variations and modality discrepancies. • State-of-the-art performance on…
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Automatic 3D Object Segmentation in Multiple Views using Volumetric Graph-Cuts
We propose an algorithm for automatically obtaining a segmentation of a rigid object in a sequence of images that are calibrated for camera pose and intrinsic parameters. Until recently, the best segmentation results have been obtained by interactive methods that…
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DPN: Density-Based Probability VANET Caching Method Leveraging with NDN Concept
Vehicular Ad Hoc Network (VANET) is expected to have broad applications, such as traffic warnings and accident rescue. However, the highly dynamic nature of VANET topology challenges conventional Mobile Ad-hoc Network (MANET) data retrieval mecha-nisms, causing significant performance degradation. To…
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Large-Scale Data for Multiple-View Stereopsis
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Video-based, real-time multi-view stereo