Create Point Cloud Cross-Sections with 3 Free Tools | How to Choose Without Making Mistakes

Table of Contents

• Introduction

• Importance of Choosing Free Tools

• Tool 1: Open-source 3D point cloud processing software

• Tool 2: Design software integration type

• Tool 3: Browser-based cloud tool

• Comparison and appropriate use of each tool

• Practical points for tool selection

• Implementation steps for each tool

• Practical operational methods

• Troubleshooting and learning resources

• Preparing for future technology utilization

• Continuous skill improvement using free tools

Introduction

When creating cross-sections from point cloud data, the choice of tool is a critical decision that can determine the success of a project. The market offers many options, from commercial software to free open-source solutions, with a variety of features and price points. In particular, leveraging free tools is highly effective for small-scale projects with limited budgets or for individual use.

However, even free tools can lead to processing failures, failure to achieve the expected accuracy, or usability issues if chosen incorrectly. In this article, we introduce three free tools suitable for creating cross-sections of point clouds and provide a detailed explanation of each tool’s characteristics, advantages and disadvantages, and points to consider when choosing.

The Importance of Selecting Free Tools

Understanding the importance of choosing free tools leads to more efficient decision-making. First, because free tools have zero implementation cost, it is easy to try multiple tools on a trial basis. The trial-and-error process is important for finding the optimal tool according to a project's characteristics, and free tools are extremely useful during this evaluation phase.

Moreover, many free tools are open source, with their source code publicly available. This makes it possible to understand how the tools work and to customize them as needed. If you have specialized knowledge, you can even improve the tools and add proprietary features unique to your company.

Additionally, free tools generally have large user communities, and abundant information on how to use them and resolve problems is publicly available. While vendor support for paid tools can sometimes be limited, information sharing among users of free tools is active.

On the other hand, free tools may have limited commercial support, and bug fixes or feature additions may not be as prompt as with paid tools. It is important to understand these points and choose the appropriate tool according to the project's requirements.

Tool 1: Open-source 3D point cloud processing software

The first tool is an open-source 3D point cloud processing software. Tools in this category offer many functions such as visualization, processing, and editing of point cloud data, and also support the creation of cross-sections.

The main features of this tool are its high functionality and extensibility. It is equipped with advanced processing functions such as point cloud noise removal, downsampling, segmentation, and meshing. In particular, with respect to creating cross-sectional drawings, it includes practical features such as the ability to process multiple section lines at once and to automatically generate smoothed lines.

The typical way to use them is as desktop applications that are downloaded and installed on a personal computer. After installation they can run without an internet connection, making them superior in terms of security and privacy. Unlike cloud services, they can process data while keeping it on the local machine, so they are also safe when handling confidential information.

The interface is somewhat complex for beginners, but because thorough documentation and tutorials are often provided, it is entirely possible to master it. There are many menus and dialogs and the settings are detailed, so you may be confused at first, but with repeated use it will become natural to use.

In terms of processing performance, it can handle large point cloud datasets relatively quickly, making it suitable for large-scale projects. Memory management is also efficient, and it can process large files exceeding several gigabytes. Furthermore, the tool provides features for integrating data acquired from multiple measurement sessions and for automatic transformations between different coordinate systems, and it is designed to cope with practical complexities. The user community is also active, and there tends to be relatively prompt response to new feature proposals and bug reports.

Tool 2: Design Software Integration Type

The second tool is a point cloud processing feature integrated into design software. Many design software packages include point cloud processing capabilities that leverage open-source libraries, and these may be available for free.

The advantage of this type of tool is its integration with design software. Cross-sectional drawings created from point clouds can be edited and processed directly within the design software, eliminating the need for data conversion between multiple tools. By centralizing the process of creating design drawings, it becomes more efficient.

Specifically, the entire workflow—importing point cloud data into design software, defining cross-sections, automatically generating section lines, and then processing those into drawings—can be performed within a single environment. As a result, data compatibility issues are less likely to arise, and errors due to inconsistent coordinate systems or units are reduced.

In terms of implementation, if design software has already been deployed, additional investment is often unnecessary. Because all functions are integrated into a single software, the learning cost is also relatively low.

However, compared to open-source tools specialized in point cloud processing, the finer features for point cloud handling may be limited. It may lack capabilities such as advanced noise removal and segmentation. Therefore, while it is sufficient for creating simple cross-sections, if more complex processing is required you should consider adopting a separate tool.

From a practical perspective, it makes sense to try simple processing at an early stage using an integrated design-software setup, and then, if necessary, consider investing in open-source tools. This phased approach minimizes mistakes in tool selection and optimizes cost-effectiveness.

Tool 3: Browser-based cloud tool

The third tool is a cloud-based point cloud processing tool accessed via a browser. This type of tool is characterized by the convenience of requiring no installation and being usable from any PC with an internet connection.

The biggest advantage of cloud-based tools is their ease of adoption. Open a web browser and sign up for an account, and you can start using them immediately. Because there’s no installation work or version management to worry about, they are suitable even for users with limited IT skills.

Also, there are many tools that allow multiple users to access them simultaneously and collaborate. This makes them efficient when multiple departments or locations cooperate on a project. Data sharing and version control are also handled automatically by cloud platforms, eliminating the need for manual management.

In terms of security, many cloud-based tools are equipped with encryption and secure authentication mechanisms and meet enterprise-level security requirements. However, when handling confidential information, you should review the terms of service and security policies and consider whether you can accept that data will be stored externally.

In terms of processing performance, because it leverages server-side resources, it is not dependent on the specifications of the local PC. Even large point cloud datasets are likely to be processed smoothly.

However, an internet connection is required, so it cannot be used in offline environments. In addition, upload and download network transfer times and server processing delays may occur.

Comparison and Appropriate Uses of Each Tool

Comparing the three tools from multiple perspectives makes their respective characteristics clearer. When conducting comparisons, it is important to judge comprehensively not only the functionality but also multiple factors such as implementation cost, learning burden, support structure, and long-term maintenance. In practical project environments, organizational aspects need to be considered alongside technical requirements.

First, from the perspective of ease of use for beginners, browser-based cloud tools are the easiest. This is because they require no installation and often have interfaces designed to be simple. Next are the design-software-integrated types. For users already familiar with design software, the learning curve will be shallow. Open-source 3D point cloud processing software is the most difficult for beginners to master, but because it is feature-rich, it is the most powerful tool for intermediate users and above.

In terms of richness of features, open-source 3D point cloud processing software is overwhelmingly superior. From fine parameter adjustments to advanced processing, it can meet almost every requirement. Design software–integrated types provide a balanced feature set and are sufficient for typical cross-section generation. Cloud-based tools are often limited to basic cross-section creation functions, but their advantage is that the latest features are added regularly.

In terms of processing speed, open-source 3D point cloud processing software is the fastest. This is because it can make maximum use of local PC resources. Design software–integrated types are also relatively fast, but may be affected by the overall load of the tools. Cloud-based tools can be the slowest due to network transfer and server processing.

From a cost perspective, all tools are either free or freemium (basic features are free, advanced features are paid). However, if you use a design-software-integrated type and the design software itself is paid, the overall cost will increase.

In terms of security and privacy, locally run open-source 3D point cloud processing software and types integrated with design software are best suited for managing highly confidential information. Cloud-based tools require assessment of security risks because data is temporarily stored on external servers.

Practical Points for Tool Selection

When deciding which tool to use for an actual project, please consider the following points.

First, assess the scale and complexity of the project. If it is a small-scale, simple cross-section creation, the simplicity of cloud-based tools is advantageous. If it is medium-scale and requires integration with design drawings, a design-software integrated solution is appropriate. If it is large-scale and requires complex processing, we recommend choosing open-source 3D point cloud processing software.

Next, consider the team's IT skill level. If the team is primarily non-technical, choosing easy-to-use tools (cloud-based or software-integrated types) can reduce training costs. On the other hand, if the team is primarily technical, investing in feature-rich open-source 3D point cloud processing software is justified.

Security requirements are also an important factor in decision-making. When handling confidential information, choose tools that allow local processing. If you need to share information with other organizations or collaborators, it is advantageous to leverage the collaboration features of cloud-based tools.

Also consider compatibility with existing design software. If you have already deployed design software, selecting the appropriate type of integration will improve overall workflow efficiency.

Finally, check the availability of support and documentation. Even with free tools, choosing tools that have an active user community and abundant documentation and tutorials makes learning and troubleshooting easier.

Installation procedures for each tool

We will explain the basic steps to actually implement each tool.

For open-source 3D point cloud processing software, download it from the official website and install it on your computer. Because many packages support multiple operating systems such as Windows, macOS, and Linux, check your operating environment and download the appropriate version. After installation, follow the documentation to perform the initial setup.

In the case of design-software-integrated types, updating the design software typically makes the latest features available. In many cases, no special additional installation steps are required. However, since they may also be provided as plugins or add-ins, please check the software documentation.

For cloud-based tools, access the official website and create an account. You can start using it immediately by simply setting an email address and password. If multiple plans are available, we recommend starting with the free plan.

Practical Operational Procedures

By combining multiple tools, you can achieve efficient operation that leverages the strengths of each.

First, in the initial stage, a cloud-based tool is used to create simple previews and basic cross-sectional drawings. This allows a quick grasp of the overall scope of the project. Next, for areas that require detailed processing, open-source 3D point cloud processing software is used to perform fine parameter adjustments. Finally, the completed cross-section data is imported into design software for drafting and editing.

By adopting such a workflow, you can improve overall efficiency while leveraging the characteristics of each tool to their fullest.

Troubleshooting and Learning Resources

This section describes the potential issues you may encounter when using each tool and how to address them.

A common problem is data compatibility. When moving data between different tools, the coordinate system settings may differ. In such cases, you need to use a coordinate system transformation function or check the metadata and make them match.

Next, you may encounter processing failures or error messages. In many cases, these are caused by incorrect parameter settings. Refer to the tool's documentation or help function to confirm the recommended settings.

Available learning resources include official documentation, user manuals, video tutorials, and user forums. In particular, user forums are especially useful, as they share experiences and solutions from other users who have faced the same challenges.

Preparing for Future Technology Adoption

It is also important to prepare with an eye toward the future development of point cloud processing technology. Each tool is continuously receiving new features and version upgrades. Regularly check update information and consider migrating to newer versions as needed.

Furthermore, automation features leveraging AI and machine learning are expected to be incorporated into future point cloud processing tools. After mastering the current basic skills, closely monitoring trends in new technologies will help maintain long-term competitiveness.

By utilizing high-precision coordinate data, the accuracy of point cloud processing can be further improved. For example, integrating high-precision coordinates obtained by an iPhone-mounted GNSS high-precision positioning device (LRTK) with point cloud data can achieve more precise measurement results. Devices like LRTK can acquire high-precision coordinates in real time in the field, and by using these as reference points for point cloud processing, the absolute positional accuracy of cross-sections can be dramatically improved.

By combining these new technologies with existing tools, next-generation measurement and design workflows will be formed. Laying the groundwork now to effectively leverage free toolsets will strengthen your ability to respond to future digitalization.

From an organizational perspective, cultivating personnel who can proficiently use multiple tools will be a source of competitive advantage going forward. The ability to understand the characteristics of each tool and to appropriately select and combine them according to project requirements will become even more valuable with the spread of AI and cloud technologies. At present, acquiring fundamental skills while using free tools is the most efficient investment for functioning effectively in the complex integrated environments of the future.

Continuous Skill Improvement Using Free Tools

By continuing to use free tools, your proficiency naturally increases, enabling you to handle more advanced tasks. What is important here is not merely mastering the tools, but understanding the technical ideas behind the features they provide. By understanding why a given process is effective and what principles it is based on, it becomes easier to apply those insights to other tools and to adapt flexibly to technological advancements.

Furthermore, experience in combining tools is highly beneficial for improving practical problem-solving skills. For example, by becoming proficient in a workflow that uses cloud-based tools for quick checks, open-source tools for detailed processing, and tools integrated with design software to finalize the drawings, you develop the ability to handle multiple project requirements on your own.

In practice, the accuracy of survey control points fundamentally determines the quality of point cloud processing. By utilizing high-precision positioning devices such as LRTK (iPhone-mounted GNSS high-precision positioning device), the absolute coordinate accuracy of point cloud data processed with free tools can be dramatically improved. When the accuracy of the control points improves, all subsequent processing steps can be carried out on higher-confidence data, which in turn improves the quality of the final cross-sections. Appropriately combining free tools with the latest measurement technologies is a practical strategy for achieving cost-efficient, high-precision measurement.