12 accepted papers
The depth precision of an indirect time-of-flight (I-ToF) camera is highly dependent on its coding scheme. However, identifying the optimal coding scheme is challenging due to the infinitely many possible combinations of modulation and demodulation functions. Although previous works have derived dep
In this paper, we introduce MeshMamba, a neural network model for learning 3D articulated mesh models by employing the recently proposed Mamba State Space Models (Mamba-SSMs). MeshMamba is efficient and scalable in handling a large number of input tokens, enabling the generation and reconstruction o…
Recognizing subtle similarities and differences among sets of similar activities is central to many real-world applications, including skill acquisition, sports performance evaluation, and anomaly detection. Humans excel at such fine-grained analysis, which requires comprehensive video understanding…
This paper presents a novel method for detecting and estimating contact forces only from human motions using machine learning techniques. Knowing the location of the contacts with the environment and the magnitude of the exerted force is critical for dynamic human motion analysis. However, their ann…
Recognizing daily human activities is essential for domestic robots to assist humans effectively in indoor environments. These activities typically involve sequences of interactions between humans and objects across different locations and times within a household. Identifying these events and under…
Optical sensors, such as the Far Infrared (FIR) sensor, have demonstrated advantages over traditional imaging. For example, 3D reconstruction in the FIR field captures the heat distribution of a scene that is invisible to RGB, aiding various applications like gas leak detection. However, less textur…
Recently, fast and practical inverse kinematics (IK) methods for complicated human models have gained considerable interest owing to the spread of convenient motion-capture or human-augmentation technologies. Although the IK algorithms developed in robotics can also be applied to humans, they experi
The paper proposes a method for automatic multi-view dataset construction based on formula-driven supervised learning (FDSL). Although data collection and human annotation of 3D objects are labor-intensive, we automatically generate their training data and labels in the proposed multi-view dataset.…
Shape reconstruction techniques using structured light have been widely researched and developed due to their robustness, high precision, and density. Because the techniques are based on decoding a pattern to find correspondences, it implicitly requires that the projected patterns be clearly capture…
Many algorithms of computer vision use light sources to illuminate objects to actively create situation appropriate to extract their characteristics. For example, the shape and reflectance are measured by a projector-camera system, and some human-machine or VR systems use projectors and displays for…
3D reconstruction methods based on active stereo technique have been widely used for many practical systems. Many of these systems are configured with a single camera and a single projector. Since such systems can only capture one side of the target object, several attempts have been conducted to en…
This paper describes the indoor snowfall simulation chamber and its application for evaluating visibility performance of vision-based sensors affected by environmental conditions. First, vision-based safety sensors are introduced and outdoor environmental requirements for these sensors are discussed…