video segmentationimage and video processingobject scanning/acquisitionmodellingCategories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Picture/Image Generation—Line and curve generationTemporally consistent motion segmentation from RGB-D videos is challenging because of the ...
French Touch Factory用9台RGB-D相机阵列, 展示全息动态捕捉中期項目效果。平行云的实时云渲染技术为我们的合作伙伴French Touch Factory开启了影视级全息流媒体的创新路径。通过AI智能处理算法与实时高斯溅射技术,他们正在突破传统内容生产的技术边界,朝着数字内容创新的前沿稳步迈进。通过平行云的LarkXR实时云渲染技术,...
-, 视频播放量 39、弹幕量 0、点赞数 3、投硬币枚数 0、收藏人数 1、转发人数 0, 视频作者 若朋机器人, 作者简介 大学教师,发明家,电子产品开发者 合理合法的分享,让世界更精彩 ruobots,相关视频:单相四开关桥式斩波电路(电力电子技术)(若朋机器人),空间矢量PWM(SV
We present TexMesh, a novel approach to reconstruct detailed human meshes with high-resolution full-body texture from RGB-D video. TexMesh enables high quality free-viewpoint rendering of humans. Given the RGB frames, the captured environment map, and the coarse per-frame human mesh from RGB-...
A fused and cleaned RGB-D has multiple applications such as virtual reality, video compositing and creative video editing. Existing image stitching methods rely on either color or depth information and thus suffer from perspective distortions or low RGB fidelity. A detailed comparison between ...
3. 介绍了三个新颖的真实场景数据集:YCB-Video、LineMod-Video和Home-Video。 这些数据集具有严重遮挡和随机性质,并采用领域随机化技术来增加数据集的多样性和泛化能力。 4. MV6D方法在实验中表现出比传统方法更高的精度和鲁棒性, 即使在相机位置不准确或存在其他物体遮挡时也能够准确地估计物体的6D姿态。
3. 介绍了三个新颖的真实场景数据集:YCB-Video、LineMod-Video和Home-Video。 这些数据集具有严重遮挡和随机性质,并采用领域随机化技术来增加数据集的多样性和泛化能力。 4. MV6D方法在实验中表现出比传统方法更高的精度和鲁棒性, 即使在相机位置不准确或存在其他物体遮挡时也能够准确地估计物体的6D姿态。
The ZPark_2K Dataset contains images, depth maps and pixel level semantic labels of 2 kilometer urban street scenes. The figure below shows one image set, including the orginal image, the overlayed segmented image, the depth map, and the color-coded semantic label map. The raw data is aq...
We present a method for temporally consistent motion segmentation from RGB-D videos assuming a piecewise rigid motion model. We formulate global energies over entire RGB-D sequences in terms of the segmentation of each frame into a number of objects, and the rigid motion of each object through...
To bridge this gap, we in this work introduce the DViSal dataset, fueling further research in the emerging field of RGB-D video salient object detection (DVSOD). Our dataset features 237 diverse RGB-D videos alongside comprehensive annotations, including object and instance-level markings, as ...