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[ACM Press the Ninth International Symposium - Danang City, Viet Nam (2018.12.06-2018.12.07)] Proceedings of the Ninth International Symposium on Information and Communication Technology - SoICT 2018 - Calf Robust Weight Estimation Using 3D Contiguous Cylindrical Model and Directional Orientation from Stereo Images
摘要： Calving interval is often used as an indicator for fertility of beef cattle, however, maternal abilities are also required because the value of breeding cows depends on how efficiently the healthy and growing calves are produced. The calf's weight has been used as an indicator of maternity ability since the past few decades. We propose a method to estimate body weight by modeling the shape of calf using 3D information extracted from the stereo images. This method enables to predict the swelling of the cattle's body by creating a 3D model, which cannot be obtained solely from a 2D image. In addition, it is possible to estimate robust weight regardless of different shooting conditions toward cattle's posture and orientation. An image suitable for estimation is selected from motion images taken by the camera installed in the barn, and 3D coordinates are calculated by the images. Then, only the body is developed with a 3D model as it has the highest correlation with the body weight. Considering that the side of cattle's body may not be exactly perpendicular to the camera's shooting direction, a symmetric axis is extracted to find the inclination of cattle body from the camera in order to generate a 3D model based on the symmetric axis. 3D contiguous cylindrical model is used for the body of a cattle which has a rounded shape. In order to manipulate the shapes of the cylindrical surface, the circle and ellipse fittings are applied and compared. The linear regression equation of the volume of the cylindrical model and the actually measured body weight are used to estimate the cattle weight. As a result of modeling with the proposed method using the actual camera images, the correlation coefficient between the body weight and the model volume was at the best value, 0.9107. Even when experimentally examined with the different 3D coordinates obtained from other types of camera, the MAPE (Mean Absolute Percentage Error) was as low as 6.39%.
关键词： depth camera,circle fitting,three-dimensional reconstruction,weight estimation,calf,cow,stereo camera,cattle,ellipse fitting
更新于2025-09-23 15:23:52
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Nonrigid reconstruction of 3D breast surfaces with a low-cost RGBD camera for surgical planning and aesthetic evaluation
摘要： Accounting for 26% of all new cancer cases worldwide, breast cancer remains the most common form of cancer in women. Although early breast cancer has a favourable long-term prognosis, roughly a third of patients suffer from a suboptimal aesthetic outcome despite breast conserving cancer treatment. Clinical-quality 3D modelling of the breast surface therefore assumes an increasingly important role in advancing treatment planning, prediction and evaluation of breast cosmesis. Yet, existing 3D torso scanners are expensive and either infrastructure-heavy or subject to motion artefacts. In this paper we employ a single consumer-grade RGBD camera with an ICP-based registration approach to jointly align all points from a sequence of depth images non-rigidly. Subtle body deformation due to postural sway and respiration is successfully mitigated leading to a higher geometric accuracy through regularised locally affine transformations. We present results from 6 clinical cases where our method compares well with the gold standard and outperforms a previous approach. We show that our method produces better reconstructions qualitatively by visual assessment and quantitatively by consistently obtaining lower landmark error scores and yielding more accurate breast volume estimates.
关键词： Breast cancer treatment,Nonrigid registration,Depth camera,3D surface reconstruction,Aesthetic evaluation
更新于2025-09-23 15:23:52
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Im2Fit: Fast 3D Model Fitting and Anthropometrics using Single Consumer Depth Camera and Synthetic Data
摘要： Recent advances in consumer depth sensors have created many opportunities for human body measurement and modeling. Estimation of 3D body shape is particularly useful for fashion e-commerce applications such as virtual try-on or fit personalization. In this paper, we propose a method for capturing accurate human body shape and anthropometrics from a single consumer grade depth sensor. We first generate a large dataset of synthetic 3D human body models using real-world body size distributions. Next, we estimate key body measurements from a single monocular depth image. We combine body measurement estimates with local geometry features around key joint positions to form a robust multi-dimensional feature vector. This allows us to conduct a fast nearest-neighbor search to every sample in the dataset and return the closest one. Compared to existing methods, our approach is able to predict accurate full body parameters from a partial view using measurement parameters learned from the synthetic dataset. Furthermore, our system is capable of generating 3D human mesh models in real-time, which is significantly faster than methods which attempt to model shape and pose deformations. To validate the efficiency and applicability of our system, we collected a dataset that contains frontal and back scans of 83 clothed people with ground truth height and weight. Experiments on real-world dataset show that the proposed method can achieve real-time performance with competing results achieving an average error of 1.9 cm in estimated measurements.
关键词： real-time performance,anthropometrics,consumer depth camera,synthetic data,3D model fitting
更新于2025-09-23 15:21:01
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Real-Time Multi-View SAR Imaging Using a Portable Microwave Camera with Arbitrary Movement
摘要： This paper presents the ?rst demonstrator of a portable, multi-view, high-resolution, three-dimensional (3D) and real-time microwave imaging system. The system is based on a recently-developed real-time 3D microwave camera, which performs quasi-monostatic acquisitions, equipped with an optical depth camera providing target surface pro?le information. Additionally, the entire system can be arbitrarily moved along the target performing microwave and depth camera synchronized acquisitions from different views with a twofold purpose, namely; a) enabling a coverage area much larger than that possible with a static imaging system, and b) allowing for incorporation of several tilt angles (or views) to enhance capturing specular re?ection imaging data to improve the overall image quality. At each scanning position, the imaging data from the microwave camera are processed to build a local 3D microwave image. The information is then merged, using recently-proposed techniques for multi-view synthetic aperture imaging, to compose the global image. The synchronized optical camera depth acquisitions enable tracking the entire imager movements so that the position and attitude are known. Moreover, the data acquired by the depth camera are also use to build a complementary 3D outer surface pro?le model of the target, producing a combined and realistic image of the internal and external geometries of the target. Finally, the performance of the combined system is evaluated using several examples related to hidden contraband covered by clothing (i.e., people screening).
关键词： 3D microwave camera,multi-view imaging,synthetic aperture imaging,depth camera
更新于2025-09-10 09:29:36
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Co-recognition of multiple fingertips for tabletop human-projector interaction
摘要： We present a depth-based ?ngertip recognition method for interactive projectors. We use a depth camera attached to a projector, so it is possible to change the relative pose between the projector and the projection surface without manual recalibration. For detection and classi?cation of ?ngertips, we propose to use cascaded random forests boosted by our 3D pose-normalized pixel-difference features. The ensemble probabilities from the cascaded random forests are used to de?ne a score function of a subset of detected ?ngertips. By ?nding the subset maximizing the score function, the ?ngertips in the subset are correctly classi?ed, and the remaining incorrectly detected ?ngertips are rejected. Experiments show that the proposed method outperforms conventional random forest and convolutional neural network classi?ers. In addition, our developed applications show the advantage of the proposed method in assigning different roles to different ?ngers.
关键词： random forest,?ngertip,depth camera,Human-projector interaction
更新于2025-09-09 09:28:46
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[Institution of Engineering and Technology 12th European Conference on Antennas and Propagation (EuCAP 2018) - London, UK (9-13 April 2018)] 12th European Conference on Antennas and Propagation (EuCAP 2018) - Evaluation of Positioning Techniques for Millimeter-wave Portable Scanners
摘要： Hybrid methods that combine electromagnetic and optical three dimensional (3D) imaging can be used to scan objects or bodies at millimeter-wave frequencies by merging multiview information. The first goal of the optical model is to obtain a 3D representation of the external surface of the target under test. The second goal lies in the estimation of positions and attitude angles of the electromagnetic scanner in order to properly combine the data collected at each acquisition view. In this contribution, two different positioning techniques are evaluated. The first one is based on a conventional optical camera, whereas the second one relies on a depth camera. Finally, an example of application to security screening is used to evaluate the accuracy of both methods.
关键词： millimeter-wave imaging,RGB-D,photogrammetry,portable scanner,depth camera,structured light
更新于2025-09-04 15:30:14
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[IEEE 2018 International Conference on 3D Vision (3DV) - Verona (2018.9.5-2018.9.8)] 2018 International Conference on 3D Vision (3DV) - SegmentedFusion: 3D Human Body Reconstruction Using Stitched Bounding Boxes
摘要： This paper presents SegmentedFusion, a method possessing the capability of reconstructing non-rigid 3D models of a human body by using a single depth camera with skeleton information. Our method estimates a dense volumetric 6D motion field that warps the integrated model into the live frame by segmenting a human body into different parts and building a canonical space for each part. The key feature of this work is that a deformed and connected canonical volume for each part is created, and it is used to integrate data. The dense volumetric warp field of one volume is represented efficiently by blending a few rigid transformations. Overall, SegmentedFusion is able to scan a non-rigidly deformed human surface as well as to estimate the dense motion field by using a consumer-grade depth camera. The experimental results demonstrate that SegmentedFusion is robust against fast inter-frame motion and topological changes. Since our method does not require prior assumption, SegmentedFusion can be applied to a wide range of human motions.
关键词： non-rigid,3D reconstruction,skeleton information,depth camera,human body
更新于2025-09-04 15:30:14