3 citations · 6 across the 13 of their papers we have counts for
15 papers
PlantPose: Universal Plant Skeleton Estimation via Tree-constrained Graph Generation
Xinpeng Liu, Hiroaki Santo, Yosuke Toda +1
Accurate estimation of plant skeletal structures (e.g., branching structures) from images is essential for smart agriculture and plant science. Unlike human skeletons with fixed to…
DP-SfM: Dual-Pixel Structure-from-Motion without Scale Ambiguity
Lilika Makabe, Kohei Ashida, Hiroaki Santo +2
Multi-view 3D reconstruction, namely, structure-from-motion followed by multi-view stereo, is a fundamental component of 3D computer vision. In general, multi-view 3D reconstructio…
BioVITA: Biological Dataset, Model, and Benchmark for Visual-Textual-Acoustic Alignment
Risa Shinoda, Kaede Shiohara, Nakamasa Inoue +3
Understanding animal species from multimodal data poses an emerging challenge at the intersection of computer vision and ecology. While recent biological models, such as BioCLIP, h…
AnimalCLAP: Taxonomy-Aware Language-Audio Pretraining for Species Recognition and Trait Inference
Risa Shinoda, Kaede Shiohara, Nakamasa Inoue +2
Animal vocalizations provide crucial insights for wildlife assessment, particularly in complex environments such as forests, aiding species identification and ecological monitoring…
Near-light Photometric Stereo with Symmetric Lights
Lilika Makabe, Heng Guo, Hiroaki Santo +2
This paper describes a linear solution method for near-light photometric stereo by exploiting symmetric light source arrangements. Unlike conventional non-convex optimization appro…
Interaction-via-Actions: Cattle Interaction Detection with Joint Learning of Action-Interaction Latent Space
Ren Nakagawa, Yang Yang, Risa Shinoda +4
This paper introduces a method and application for automatically detecting behavioral interactions between grazing cattle from a single image, which is essential for smart livestoc…
GaussianPlant: Structure-aligned Gaussian Splatting for 3D Reconstruction of Plants
Yang Yang, Risa Shinoda, Hiroaki Santo +1
We present a method for jointly recovering the appearance and internal structure of botanical plants from multi-view images based on 3D Gaussian Splatting (3DGS). While 3DGS exhibi…
Towards Imperceptible Watermarking Via Environment Illumination for Consumer Cameras
Hodaka Kawachi, Tomoya Nakamura, Hiroaki Santo +4
This paper introduces a method for using LED-based environmental lighting to produce visually imperceptible watermarks for consumer cameras. Our approach optimizes an LED light sou…
Zero-shot Hierarchical Plant Segmentation via Foundation Segmentation Models and Text-to-image Attention
Junhao Xing, Ryohei Miyakawa, Yang Yang +5
Foundation segmentation models achieve reasonable leaf instance extraction from top-view crop images without training (i.e., zero-shot). However, segmenting entire plant individual…
NeuraLeaf: Neural Parametric Leaf Models with Shape and Deformation Disentanglement
Yang Yang, Dongni Mao, Hiroaki Santo +2
We develop a neural parametric model for 3D leaves for plant modeling and reconstruction that are essential for agriculture and computer graphics. While neural parametric models ar…
Spectral Sensitivity Estimation with an Uncalibrated Diffraction Grating
Lilika Makabe, Hiroaki Santo, Fumio Okura +2
This paper introduces a practical and accurate calibration method for camera spectral sensitivity using a diffraction grating. Accurate calibration of camera spectral sensitivity i…
TreeFormer: Single-view Plant Skeleton Estimation via Tree-constrained Graph Generation
Xinpeng Liu, Hiroaki Santo, Yosuke Toda +1
Accurate estimation of plant skeletal structure (e.g., branching structure) from images is essential for smart agriculture and plant science. Unlike human skeletons with fixed topo…
NeRSP: Neural 3D Reconstruction for Reflective Objects with Sparse Polarized Images
Yufei Han, Heng Guo, Koki Fukai +5
We present NeRSP, a Neural 3D reconstruction technique for Reflective surfaces with Sparse Polarized images. Reflective surface reconstruction is extremely challenging as specular…
Multi-View Azimuth Stereo via Tangent Space Consistency
Xu Cao, Hiroaki Santo, Fumio Okura +1
We present a method for 3D reconstruction only using calibrated multi-view surface azimuth maps. Our method, multi-view azimuth stereo, is effective for textureless or specular sur…
Edge-preserving Near-light Photometric Stereo with Neural Surfaces
Heng Guo, Hiroaki Santo, Boxin Shi +1
This paper presents a near-light photometric stereo method that faithfully preserves sharp depth edges in the 3D reconstruction. Unlike previous methods that rely on finite differe…