a sparse point

USAGE SUMMARY

The phrase "a sparse point" is correct and usable in written English.
It can be used to describe a point that is minimal, lacking in detail, or not densely populated with information or content. Example: "In the discussion, she made a sparse point that left many questions unanswered."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

11 human-written examples

A fifth-order weighted essentially non-oscillatory (WENO) scheme is combined with a multiresolution technique that adaptively generates a sparse point representation (SPR) of the evolving numerical solution.

Journal of Computational Physics

To do this they use a three-stage set of algorithms that begins by creating a "sparse point cloud" with a batch of photos, renders it as a denser image, capturing much of the original surface texture of the object, and then renders it in three dimensions.

The New York Times - Science

Otherwise, it is called a sparse point (SP).

EURASIP Journal on Audio, Speech, and Music Processing

First, an existing batch-based structural modeling is applied to a sparse point cloud that are incrementally updated on SLAM.

IPSJ Transactions on Computer Vision and Applications

However, after the adjustment not only the camera parameters are known, also a sparse point cloud is created (Fig. 4).

Heritage Science

The key idea is to use not only a sparse point cloud but also the generating process of the cloud on SLAM.

IPSJ Transactions on Computer Vision and Applications

Human-verified similar examples from authoritative sources

Similar Expressions

49 human-written examples

(Snavely et al. 2006) explored the possibility to create a 3D sparse point cloud from a collection of digital color images (i.e. structure-from-motion). (Furukawa and Ponce 2010) developed a multi-view stereo matching framework, which can generate an accurate, dense, and robust point clouds from stereo color images.

Visualization in Engineering

Therefore, the performance of a RANSAC-based method [8] for sparse point clouds is first investigated, and its drawbacks are analyzed in Section 2. Note that there exist methods that deal with sparse point clouds, but they can detect planes only such that textured planes are reconstructed [10].

IPSJ Transactions on Computer Vision and Applications

Each model represents a reconstructed set of building walls as a sparse 3D point cloud.

EURASIP Journal on Image and Video Processing

A hierarchical structure is also introduced in the point distribution, with a higher level "rough" Gauss map with rather sparse point distribution and another lower level "fine" Gauss map with much denser point distribution.

Journal of Computational Design and Engineering

Sparse point clouds were generated using a monocular SLAM system [12], as shown in Fig. 1 b.

IPSJ Transactions on Computer Vision and Applications

Expert writing Tips

Best practice

When using "a sparse point", ensure the context clearly indicates what is lacking or minimal. Is it detail, evidence, or frequency? Clarity will enhance the impact of your statement.

Common error

Don't automatically equate "a sparse point" with being unimportant. Sometimes, a concise point can be highly significant, especially when efficiency and clarity are valued. Avoid dismissing it solely based on its brevity.

Linguistic Context

The phrase "a sparse point" functions as an adjective-noun combination, where 'sparse' modifies 'point'. This structure is used to describe a specific characteristic of the point being discussed, indicating a lack of density or detail. As Ludwig AI states, the phrase is correct and usable.

Expression frequency: Uncommon

Frequent in

Science

60%

News & Media

30%

Formal & Business

10%

Less common in

Wiki

0%

Encyclopedias

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "a sparse point" is a grammatically sound phrase used to describe something lacking detail or density. While Ludwig AI confirms its correctness, its usage is relatively uncommon. It finds its place mainly in scientific and news contexts. The phrase's purpose is to indicate a minimal or insufficient amount of information. While "sparse" might imply a negative connotation of lacking substance, it's important to consider the context to determine if conciseness is actually a virtue in the given situation. Be mindful that while the expression is valid you could consider alternatives like "a minimal detail", "a scant remark", or "a superficial observation" to better meet your writing needs.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

a minimal detail

Focuses on the lack of elaboration or significance of the point.

a scarce detail

Emphasizes the limited availability or provision of detail.

a scant remark

Highlights the brevity and lack of depth in the statement.

a superficial observation

Indicates that the point lacks thoroughness or depth of analysis.

a cursory mention

Suggests the point was only briefly touched upon, without extensive discussion.

a fleeting comment

Implies the point was brief and quickly passed over.

a limited aspect

Highlights the point's narrow scope or perspective.

a slender argument

Describes a point that is weak or not well-supported.

a reduced element

Emphasizes that the point is simplified or condensed.

an unsubstantiated claim

Highlights that the point lacks strong supporting evidence.

FAQs

How can I use "a sparse point" in a sentence?

You can use "a sparse point" to describe something lacking detail or density. For example, "The presentation included "a sparse point" about budget allocation".

What is a good alternative to "a sparse point"?

Alternatives include "a minimal detail", "a scant remark", or "a superficial observation", depending on the specific nuance you want to convey.

What does it mean to describe a data set as containing "a sparse point cloud"?

In the context of data, "a sparse point cloud" indicates that the data set has relatively few data points compared to the potential scope, which can affect the accuracy of models or analysis.

Is "a sparse point" always a negative characteristic?

Not necessarily. While it often implies a lack of detail, in some contexts, "a sparse point" can be desirable for its conciseness or efficiency, particularly if the details are well-understood or readily available elsewhere.